For ten years, the Stata Technical Bulletin (STB) served as a means of distributing new commands and Stata updates, both user-written and "official". After ten years of continuous publication, the Stata Technical Bulletin evolved into the Stata Journal.
Contents
Announcements
an72: STB-49 – STB-54 available in bound format. P. Branton.
an73: Electronic version of the Stata Technical Bulletin is now available. P. Branton.
an74: Stata 6, Stata 7, and the STB. P. Branton.
an75: The Stata Journal begins publication fourth quarter 2001. H. J. Newton.
an76: Stata Journal subscriptions for STB subscribers. P. Branton.
an77: Past issues of the Stata Technical Bulletin. P. Branton.
Data Management
dm65.1: Update to a program for saving a model fit as a dataset. N. J. Cox.
dm67.1: Enhancements to numbers of missing and present values. N. J. Cox.
dm70.1: Extensions to generate, extended: corrections. N. J. Cox.
dm73.2: Contrasts for categorical variables: update. J. Hendrickx.
dm73.3: Contrasts for categorical variables: update. J. Hendrickx.
dm78: Describing variables in memory. N. J. Cox.
dm78.1: Describing variables in memory: update to Stata 7. N. J. Cox.
dm79: Yet more new matrix commands. N. J. Cox.
dm80: Changing numeric variables to string. N. J. Cox & J. B. Wernow.
dm80.1: Update to changing numeric variables to string. N. J. Cox & J. B. Wernow.
dm81: Utility for time series data. C. F. Baum & V. Wiggins.
dm82: Simulating two- and three-generation families. J. Cui.
dm83: Renaming variables: changing suffixes. S. P. Jenkins & N. J. Cox.
dm84: labjl: Adding numerical codes to value labels. J. M. Lauritsen.
dm85: listjl: List one variable in a condensed form. J. M. Lauritsen.
dm86: Sampling without replacement: absolute sample sizes and keeping all observations. N. J. Cox.
dm87: Calculating the row product of observations. P. Ryan.
dm88: Renaming variables, multiply and systematically. N. J. Cox & J. Weesie.
dm89: Dropping variables or observations with missing values. N. J. Cox.
dm90: Listing distinct values of a variable. N. J. Cox.
dm91: Patterns of missing values. J. Weesie.
dm92: Simulating disease status and censored age. J. Cui.
Graphics
gr33.1: Violin plots for Stata 6 and 7. T. J. Steichen.
gr42.1: Quantile plots, generalized: update to Stata 7.0. N. J. Cox.
gr44: Graphing point estimate and confidence intervals. R. F. MacLehose.
gr45: A turnip graph engine. S. Woloshin
gr46: Display a graph of nonlinear effects. J. Weesie.
Instruction on Programming
ip9.1: Update of the byvar command. P. Royston.
Biostatistics and Epidemiology
sbe19.2: Update of tests for publication bias in meta-analysis. T. J. Steichen.
sbe19.3: Tests for publication bias in meta-analysis: erratum. T. J. Steichen.
sbe19.4: Update to metabias to work under version 7. T. J. Steichen.
sbe20.1: Update of galbr. A. Tobias.
sbe26.1: Update of metainf. A. Tobias.
sbe28.1: Update of metap. A. Tobias.
sbe32.1: Errata for sbe32. M. E. López, M. I. Santiago, & L. Abraira.
sbe33: Comparing several methods of measuing the same quantity. P. Seed.
sbe34: Loglinear modeling using iterative proportional fitting. A. Mander.
sbe35: Menus for epidemiological statistics. J. Carlin & S. Vidmar.
sbe36: Summary statistics report for diagnostic tests. A. Tobias.
sbe36.1: Summary statistics for diagnostic tests. P. Seed & A. Tobias.
sbe37: Special restrictions in multinomial logistic regression. J. Hendrickx.
sbe38: Haplotype frequency estimation using an EM algorithm and log-linear modeling. A. Mander.
sbe39: Nonparametric trim and fill analysis of publication bias in meta-analysis. T. J. Steichen.
sbe39.1: Nonparametric trim and fill analysis of publication bias in meta-analysis: erratum. T. J. Steichen .
sbe39.2: Update of metatrim to work under verion 7. T. J. Steichen.
sbe40: Modeling mortality dta using the Lee–Carter model. D. Wang.
sbe41: Ordinary case–cohort design and analysis. V. Coviello.
sbe42: Modeling the process of entry into the first marriage using Hernes model. D. Wang.
General Statistics
sg84.3: concordance correlation coefficient: minor corrections. T. J. Steichen & N. J. Cox.
sg97.2: Update to formatting regression output. J. L. Gallup.
sg97.3: Update to formatting regression output. J. L. Gallup.
sg135: Test for autoregressive conditional heteroskedasticity in regression error distribution. C. Baum & V. Wiggins.
sg136: Tests for serial correlation in regression error distribution. C. Baum & V. Wiggins.
sg137: Tests for heteroskedasticity in regression error distribution. C. Baum, N. J. Cox, & V. Wiggins.
sg138: Bootstrap inferences about measures of correlation. D. J. Neal.
sg139: Logistic regression when binary outcome is measured with uncertainty. M. Cleves & A. Tosetto.
sg140: The Gumbel quantile ploy and a test for choice of extreme models. M. G. Scotto.
sg141: Treatment effects model. R. Cong & D. Drukker.
sg142: Uniform layer effect models for the analysis of differences in two-way associations. M. Pisati.
sg143: Cronbach's alpha one-sided confidence interval. M-J Bleda & A. Tobas.
sg144: Marginal effects of the tobit model. R. Cong.
sg145: Scalar measures of fit for regression models. J. S. Long & J. Freese.
sg146: Parameter estimation for the generalized extreme value distribution. M. G. Scotto & A. Tobias.
sg147: Hill estimator for the index of regular variation. M. G. Scotto.
sg148: Profile likelihood confidence intervals for explanatory variables in logistic regression. M. S. Pearce.
sg149: Tests for seasonal data via the Edwards and Walter & Elwood tests. M. S. Pearce & R. Feltbower.
sg150: Hardy–Weinberg equilibrium test in case–constrol studies. J. Cui.
sg151: B-splines paameterized by their values at reference points on the x-axis. R. Newson.
sg152: Listing and interpreting transformed coefficients from certain regression models. J. S. Long & J. Freese.
sg153: Censored least absolute deviations estimator: CLAD. D. Jolliffe, B. Krushelnytskyy, & A. Semykina.
sg154: Confidence intervals for the ratio of two binomial proportions by Koopman's method. D. Wang.
sg155: Tests for the multinomial logit model. J. Freese & J. S. Long.
sg156: Mean score method for missing covariate data in logistic regression omodels. M. Reilly & A. Salim.
sg157: Predicted values calculated from linear or logistic regression models. J. M. Garrett.
sg158: Random-effects ordered probit. G. R. Frechette.
sg158.1: Update to random-effects ordered probit. G. R. Frechette.
sg159: Confidence intervals for correlations. P. T. Seed.
sg160: On boundary-value likelihood-ratio tests. R. Gutierrez, S. Carter, & D. M. Drukker.
sg161: Analysis of the turning point of a quadratic specification. J. Weesie.
sg162: Tools for spatial data analysis. M. Pisati.
sg163: Stereotype ordinal regression. M. Lunt.
sg164: Specification tests for linear panel data models. W. Sosa-Escudero & A. K. Bera.
Nonparametric Methods
snp15: somersd—Confidence intervals for nonparametric statistics and their differences. R. Newson.
snp15.1: Update to somersd. R. Newson.
snp15.2: Update to somersd. R. Newson.
snp15.3: Update to somersd. R. Newson.
snp16: Robust confidence intervals for median and other percentile differences between two groups. R. Newson.
snp16.1: Update to cendif. R. Newson.
Survival Analysis
ssa14: Global and multiple causes-of-death life tables from complete or aggregated vital data. C. Ramalheira.
Time series, Econometrics
sts15: Tests for stationarity of a time series. C. F. Baum.
sts15.1: Tests for stationarity of a time series: update. C. F. Baum & R. Sperling.
sts16: Tests for long memory in a time series. C. F. Baum & V. Wiggins.
sts17: Compacting time series data. C. F. Baum.
sts18: A test for long-range dependence in a time series. C. F. Baum & T. Room.
sts19: Multivariate portmanteau (Q) test for white noise. R. Sperling & C. F. Baum.
Experimental Design
sxd2: Computing optimal sampling designs for two-stage studies. M. Reilly & A. Salim.
sxd3: Sample size estimation for the kappa-statistic of interrater agreement. M. E. Reichenheim.
sxd4: Sample size estimation for cluster designed samples. J. M. Garrett.
Not Elsewhere Classified
zz10: Cumulative index for STB-49 – STB-54.
zz11: Cumulative index for STB-55 – STB-61.
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STB Reprints volume 9
Contents
Announcements
an69: STB-43 – STB-48 available in bound format.
an70: Fall NetCourse schedule announced.
an71: Spring NetCourse schedule announced.
StataCorp provided Support Materials
stata53: censored option added to sts graph command. M. Cleves.
stata54: Multiple curves plotted with stcurv command. M. Cleves.
stata55: Search web for installable packages. W. Gould & A. Riley.
Data Management
dm45.1: Changing string variables to numeric: update. N. J. Cox.
dm45.2: Changing string variables to numeric: correction. N. J. Cox.
dm50.1: Update to defv. J. R. Gleason.
dm56.1: Update to labedit. J. R. Gleason.
dm61.1: Update to varxplor. J. R. Gleason.
dm63.1: A new version of winshow for Stata 6. T. Brady.
dm65: A program for saving a model fit as a dataset. R. Newson.
dm66: Recoding variables using grouped values. D. Clayton & M. Hills.
dm66.1: Stata 6 version of recoding variables using grouped values. D. Clayton & M. Hills.
dm66.2: Update of cut to Stata 6. D. Clayton & M. Hills.
dm67: Numbers of missing and present values. N. J. Cox.
dm68: Display of variables in blocks. J. Weesie.
dm69: Further new matrix commands. N. J. Cox.
dm70: Extensions to generate, extended. N. J. Cox.
dm71: Calculating the product of observations. P. Ryan.
dm72: Alternative ranking procedures. N. J. Cox & R. Goldstein.
dm72.1: Alternative ranking procedures: update. N. J. Cox & R. Goldstein.
dm73: Using categorical variables in Stata. J. Hendrickx.
dm73.1: Contrasts for categorical variables: update. J. Hendrickx.
dm74: Changing the order of variables in a dataset. J. Weesie.
dm75: Safe and easy matched merging. J. Weesie.
dm76: ICD-9 diagnostic and procedure codes. W. Gould.
dm77: Removing duplicate observations in a dataset. D. Wang.
Graphics
gr34.2: Drawing Venn diagrams. J. M. Lauritsen.
gr34.3: An update to drawing Venn diagrams. J. M. Lauritsen.
gr36: An extension of for, useful for graphics commands. J. Weesie.
gr37: Cumulative distribution function plots. D. Clayton & M. Hills.
gr38: Enhancement to the hilite command. J. Weesie.
gr39: 3D surface plots. A. Mander.
gr40: A simple contour plot. A. Mander.
gr41: Distribution function plots. N. J. Cox.
gr42: Quantile plots, generalized. N. J. Cox.
gr43: Overlaying graphs. A. Mander.
Instruction on Programming
ip18.1: Update to resample. J. R. Gleason.
ip28: Automatically sorting by subgroup. J. Weesie.
ip29: Metadata for user-written contributions to the Stata programming language. C. F. Baum & N. J. Cox.
ip29.1: Metadata for user-written contributions to the Stata programming language: extensions. C. F. Baum & N. J. Cox.
Operating System, Hardware, & Interprogram Communication
os15: Command-name registration at www.stata.com. W. Gould & A. Riley.
Biostatistics and Epidemiology
sbe27: Assessing confounding effects in epidemiological studies. Z. Wang.
sbe28: Meta-analysis of p-values. A. Tobias.
sbe29: Generalized linear models: extensions to the binomial family. J. Hardin & M. Cleves.
sbe30: Improved confidence intervals for odds ratios. J. R. Gleason.
sbe31: Exact confidence intervals for odds ratios from case–control studies. W. D. Dupont & D. Plummer.
sbe32: Automated outbreak detection from public health surveillance data. M. E. López, M. I. Santiago, & L. Abraira.
General Statistics
sg35.2: Robust tests for the equality of variances update to Stata 6. M. Cleves.
sg64.1: Update to pwcorrs. F. Wolfe.
sg67.1: Update to univar. J. R. Gleason.
sg81.1: Multivariable fractional polynomials: update. P. Royston & G. Ambler.
sg81.2: Multivariable fractional polynomials: update. P. Royston & G. Ambler.
sg84.2: Concordance correlation coefficient: update for Stata 6. T. J. Steichen & N. J. Cox.
sg97.1: Revision of outreg. J. L. Gallup.
sg107.1: Generalized Lorenz curves and related graphs. S. P. Jenkins & P. Van Kerm.
sg111: A modified likelihood-ratio test command. S. Perez-Hoyos & A. Tobias.
sg112: Nonlinear regression models involving power or exponential functions of covariates. P. Royston & G. Ambler.
sg112.1: Nonlinear regression models involving power or exponential functions of covariates: update. P. Royston & G. Ambler.
sg113: Tabulation of modes. N. J. Cox.
sg114: rglm - Robust variance estimates for generalized linear models. R. Newson.
sg115: Bootstrap standard errors for indices of inequality. D. Jolliffe & B. Krushelnytskyy.
sg116: Hotdeck imputation. A. Mander & D. Clayton.
sg116.1: Update to hotdeck imputation. A. Mander & D. Clayton.
sg117: Robust standard errors for the Foster–Greer–Thorbecke class of poverty indices. D. Jolliffe & A. Semykina.
sg118: Partitions of Pearson's x2 for analyzing two-way tables that have ordered columns. R. Wolfe.
sg119: Improved confidence intervals for binomial proportions. J. R. Gleason.
sg120: Receiver Operating Characteristic (ROC) analysis. M. Cleves.
sg120.1: Two new options added to rocfit command. M. Cleves.
sg120.2: Correction to roccomp command. M. Cleves.
sg121: Seemingly unrelated estimation and the cluster-adjusted sandwich estimator. J. Weesie.
sg122: Truncated regression. R. Cong.
sg123: Hodges–Lehmann estimation of a shift in location between two populations. D. Wang.
sg124: Interpreting logistic regression in all its forms. W. Gould.
sg125: Automatic estimation of interaction effects and their confidence intervals. J. de Irala-Estévez & M. A. Martínez.
sg126: Two-parameter log-gamma and log-inverse Gaussian models. J. Hilbe.
sg127: Summary statistics for estimation sample. J. Weesie.
sg128: Some programs for growth estimation in fisheries biology. I. H. Salgado-Ugarte, J. Martínez-Ramírez, J. L. Gómez-Márquez, and B. Peña-Mendoza.
sg129: Generalized linear latent and mixed models. S. Rabe-Hesketh, A. Pickles, & C. Taylor.
sg130: Box–Cox regression models. D. Drukker.
sg131: On the manipulability of Wald tests in Box–Cox regression models. D. Drukker.
sg132: Analysis of variance from summary statistics. J. R. Gleason.
sg133: Sequential and drop one term likelihood-ratio tests. Z. Wang.
sg134: Model selection using the Akaike information criterion. Z. Wang.
Survival Analysis
ssa13: Analysis of multiple failure-time data with Stata. M. Cleves.
Time series, Econometrics
sts14: Bivariate Granger causality test. J. S. David.
Experimental Design
sxd1.1: Update to random allocation of treatments to blocks. P. Ryan.
sxd1.2: Random allocation of treatments to blocks: update. P. Ryan.
Not Elsewhere Classified
zz8: Cumulative index for STB-43 – STB-48.
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STB Reprints volume 8
Contents
Announcements
an66: STB-37 – STB-42 available in bound format.
an67: Stata 5, Stata 6, and the STB.
an68: NetCourse schedule announced
Data Management
dm55: Generating sequences and patterns of numeric data: an extension to egen. R. M. Esman.
dm56: A labels editor for Windows and Macintosh. J. R. Gleason.
dm57: A notes editor for Windows and Macintosh. J. R. Gleason.
dm58: A package for the analysis of husband–wife data. J. Weesie.
dm59: Collapsing datasets to frequencies. N. J. Cox.
dm60: Digamma and trigamma functions. J. Hilbe.
dm61: A tool for exploring Stata datasets (Windows and Macintosh only). J. R. Gleason.
dm62: Joining episodes in multi-record survival time data. J. Weesie.
dm63: Dialog box windows for browsing, editing, and entering observations. T. Brady.
dm64: Quantiles of the studentized range distribution. J. R. Gleason.
Graphics
gr29: labgraph: placing text labels on two-way graphs. J. Faust.
gr29.1: Correction to labgraph. J. Faust.
gr30: A set of 3D-programs. G. D. van Melle.
gr31: Graphical representation of follow-up by time bands. A. Mander.
gr32: Confidence ellipses. A. Alexandersson.
gr33: Violin plots. T. J. Steichen.
gr34: Drawing Venn diagrams. J. M. Lauritsen.
gr34.1: Drawing Venn diagrams. J. M. Lauritsen.
gr35: Diagnostic plots for assessing Singh–Maddala and Dagum distributions. N. J. Cox.
Instruction on Programming
ip14.1: Programming utility: numeric lists (correction and extension). J. Weesie.
ip25: Parameterized Monte Carlo simulations: an enhancement to the simulation command. J. Weesie.
ip26: Bivariate results for each pair of variables in a list. N. J. Cox.
ip27: Results for all possible combinations of arguments. N. J. Cox.
Biostatistics and Epidemiology
sbe16.2: Corrections to the meta-analysis command. S. Sharp & J. Sterne.
sbe18.1: Update of sampsi. P. T. Seed.
sbe19.1: Tests for publication bias in meta-analysis. T. J. Steichen, M. Egger, & J. Sterne.
sbe24: metan–an alternative meta-analysis command. M. J. Bradburn, J. J. Deeks, & D. G. Altman.
sbe24.1: Correction to funnel plot. M. J. Bradburn, J. J. Deeks, & D. G. Altman.
sbe25: Two methods for assessing the goodness-of-fit of age-specific reference intervals. E. M. Wright & P. Royston.
sbe26: Assessing the influence of a single study in the meta-analysis estimate. A. Tobias.
General Statistics
sg33.1: Enhancements for calculation of adjusted means & adjusted proportions. J. M. Garrett.
sg81: Multivariable fractional polynomials. P. Royston & G. Ambler.
sg82: Fractional polynomials for st data. P. Royston.
sg83: Parameter estimation for the Gumbel distribution. M. G. Scotto & A. Tobias.
sg84: Concordance correlation coefficient. T. J. Steichen & N. J. Cox.
sg84.1: Concordance correlation coefficient, revisited. T. Steichen & N. J. Cox.
sg85: Moving summaries. N. J. Cox.
sg86: Continuation-ratio models for ordinal response data. R. Wolfe.
sg87: Windmeijer's goodness-of-fit test for logistic regression. J. Weesie.
sg88: Estimating generalized ordered logit models. V. K. Fu.
sg89: Adjusted predictions and probabilities after estimation. K. Higbee.
sg89.1: Correction to the adjust command. K. Higbee.
sg89.2: Correction to the adjust command. K. Higbee.
sg90: Akaike's information criterion and Schwarz's criterion. A. Tobias & M. J. Campbell.
sg91: Robust variance estimators for MLE Poisson and negative binomial regression. J. Hilbe.
sg92: Logistic regression for data including multiple imputations. C. Paul.
sg93: Switching regressions. F. Zimmerman.
sg94: Right, left and uncensored Poisson regression. J. Hilbe & D. H. Judson.
sg95: Geographically weighted regression: A method for exploring spatial nonstationarity. M. S. Pearce.
sg96: Zero-inflated Poisson and negative binomial regression models. J. B. Sørensen.
sg97: Formatting regression output for published tables. J. L. Gallup.
sg98: Poisson regression with a random effect. D. Clayton.
sg99: Multiple regression with missing observations for some variables. M. Over.
sg100: Two-stage linear constrained estimation. J. Weesie.
sg101: Pairwise comparisons of means, including the Tukey wsd method. J. R. Gleason.
sg102: Zero-truncated Poisson and negative binomial regression. J. Hilbe.
sg103: Within subjects (repeated measures) ANOVA, including between subject factors. J. R. Gleason.
sg104: Analysis of income distributions. S. P. Jenkins.
sg105: Creation of bivariate random lognormal variables. S. P Jenkins & P. Van Kerm.
sg106: Fitting Singh–Maddala and Dagum distributions by maximum likelihood. S. P. Jenkins.
sg107: Generalized Lorenz curves and related graphs. S. P. Jenkins & P. Van Kerm.
sg108: Computing poverty indices. P. Van Kerm.
sg109: Utility to convert binomial frequency records to frequency weighted data. M. Cleves.
sg110: Hardy–Weinberg equilibrium test and allele frequency estimation. M. Cleves.
Survival Analysis
ssa12: Predicted survival curves for the Cox proportional hazards model. J. M. Garrett.
Time series, Econometrics
sts13: Time series regression for counts allowing for autocorrelation. A. Tobias & M. J. Campbell.
Survey Sampling
svy7: Two-way contingency tables for survey or clustered data. W. M. Sribney.
Not Elsewhere Classified
zz8: Cumulative index for STB-37 – STB-42.
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STB Reprints volume 7
Contents
Announcements
an64: STB-31 – STB-36 available in bound format. P. Branton.
an65: Memorium for Stewart West. J. Hilbe.
Official Updates
stata47: lookup now indexes on-line FAQs. W. Gould.
stata48: Updated reshape. W. Gould.
stata49: Interrater agreement. W. Gould.
stata50: Changes to ttest and sdtest. W. M. Sribney.
stata51: Exact McNemar test added to mcc and mcci commands.
stata52: Origin/noOrigin option added to sts graph command.
Data Management
dm44: Sequences of integers. N. J. Cox.
dm45: Changing string variables to numeric. N. J. Cox & W. Gould.
dm46: Enhancement to the sample command. J. Weesie.
dm47: Verifying value label mappings. J. Weesie.
dm48: An enhancement of reshape. J. Weesie.
dm49: Some new matrix commands. J. Weesie.
dm50: Defining variables and recording their definitions. J. R. Gleason.
dm51: Defining and recording variable orderings. J. R. Gleason.
dm52: Executing a command on a subset of the data. P. Sasieni.
dm53: Detection and deletion of duplicate observations. T. J. Steichen & N. J. Cox.
dm54: Capturing comments from data dictionaries. J. R. Gleason.
Graphics
gr16.2: Corrections to condraw.ado. J. P. Gray & N. J. Cox.
gr24.1: Easier bar charts: correction. N. J. Cox.
gr25.1: Spike plots for histograms, rootograms, and time series plots: update. N. J. Cox & A. R. Brady.
gr26: Bin smoothing and summary on scatter plots. N. J. Cox.
gr27: An adaptive variable span running line smoother. P. Sasieni.
gr28: A graphical procedure to test equality of variances. A. Tobias.
Instruction on Programming
ip17: while loops from the command line. J. R. Gleason.
ip18: A command for randomly resampling a dataset. J. R. Gleason.
ip19: Using expressions in Stata commands. J. Weesie.
ip20: Checking for sufficient memory to add variables. J. Weesie.
ip21: Storing commands in the keyboard buffer (Windows and Macintosh only). J. Weesie.
ip22: Parsing options with embedded parentheses. J. Weesie.
ip23: Expansion and display of if expressions. T. J. Steichen.
ip24: Timing portions of a program. F. Zimmerman.
Biostatistics and Epidemiology
sbe13.3: Correction to age-specific reference intervals ("normal ranges"). E. Wright & P. Royston.
sbe15: Age-specific reference intervals for normally distributed data. E. Wright & P. Royston.
sbe16: Meta-analysis. S. Sharp & J. Sterne.
sbe16.1: New syntax and output for the meta-analysis command. S. Sharp & J. Sterne.
sbe17: Discrete time proportional hazards regression. S. P. Jenkins.
sbe18: Sample size calculations for clinical trials with repeated measures data. P. Seed.
sbe19: Tests for publication bias in meta-analysis. T. J. Steichen.
sbe20: Assessing heterogeneity in meta-analysis: the Galbraith plot. A. Tobias.
sbe21: Adjusted population attributable fractions from logistic regression. A. R. Brady.
sbe22: Cumulative meta-analysis. J. Sterne.
sbe23: Meta-analysis regression. S. Sharp.
Exploratory Data Analysis
sed9.1 Pointwise confidence intervals for running. P. Sasieni & P. Royston.
General Statistics
sg42.2: Displaying predicted probabilities from probit or logit regression. M. Over.
sg44.1: Correction to random number generators. J. Hilbe & W. Linde-Zwirble.
sg53.2: Stata-like commands for complementary log-log regression. J. Hilbe.
sg70: Interquantile and simultaneous-quantile regression. W. Gould.
sg71: Routines to maximize a function. C. Ferrall.
sg72: Newey–West standard errors for probit, logit, and poisson models. J. Hardin.
sg73: Table making programs. J. H. Tyler.
sg74: Symmetry and marginal homogeneity test/Transmission-Disequilibrium Test (TDT). M. Cleves.
sg75: Geometric means and confidence intervals. J. Carlin, S. Vidmar, & C. Ramalheira.
sg76: An approximate likelihood-ratio test for ordinal response models. R. Wolfe & W. Gould.
sg77: Regression analysis with multiplicative heteroscedasticity. J. Weesie.
sg78: Simple and multiple correspondence analysis in Stata. P. Van Kerm.
sg79: Generalized additive models. P. Royston & G. Ambler.
sg80: Indirect standardization. M. Cleves.
Multivariate Analysis
smv3.2: Enhancements to discriminant analysis. J. Hilbe.
smv7: Inference on principal components. J. Weesie.
Nonparametric Methods
snp13: Nonparametric assessment of multimodality for univariate data. I. Salgado-Ugarte, M. Shimizu, & T. Taniuchi.
snp14: A two-sample multivariate nonparametric test. A. Perkins.
Survival Analysis
ssa9: Cox proportional hazards model with the exact calculation for ties. W. Gould.
ssa9.1: Survival analysis subroutine for programmers. W. Gould.
ssa10: Analysis of follow-up studies with Stata 5.0. D. Clayton & M. Hills.
ssa10.1: Update to analysis of follow-up studies with Stata 5.0. D. Clayton & M. Hills.
ssa11: Survival analysis with time-varying covariates. J. Weesie.
Survey Sampling
svy6: Versions of mlogit, ologit, and oprobit for survey data. J. L. Eltinge & W. M. Sribney.
Experimental Design
sxd1: Random allocation of treatments in blocks. P. Ryan.
Teaching
tt7: Random walk tutorial. A. Verbeek & J. Weesie.
Not Elsewhere Classified
zz7: Cumulative index for STB-31 – STB-36.
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STB Reprints volume 6
Contents
Announcements
an59: Statement from the new editor. H. Newton.
an60: STB-25 – STB-30 available in bound format. P. Branton.
an61: Submission guidelines. H. Newton.
an62: Stata 5.0. StataCorp.
an63: Updates available on the Stata web site. StataCorp.
StataCorp. Provided Support Materials
crc44: Confidence intervals in a 2x2 table.
crc45: New options for survival-time data.
crc46: Better numerical derivatives and integrals.
Data Management
dm42: Accrue statistics for a command across a by list. J. Hardin.
dm43: Automatic recording of definitions. J. Weesie.
Datasets
dt3: Reading EpiInfo datasets into Stata. R. Esman.
dt3.1: An updated utility to convert EpiInfo datasets. R. Esman.
Graphics
gr16.1: Covex hull plots. N. Cox.
gr20: Low-level graphics in data coordinates. H. Newton & J. Hardin.
gr21: Flexible axis scaling. P. Royston.
gr22: Binomial smoothing plot. N. Cox.
gr23: Graphical assessment of the Cox model proportional hazards assumption. J. Garrett.
gr24: Easier bar charts. N. Cox.
gr25: Spike plots for histograms, rootograms, and time-series plots. N. Cox & A. Brady.
Instruction on Programming
ip13: Maximum-likelihood estimation using the ml command. W. Gould.
ip14: Programming utility: Numeric lists. J. Weesie.
ip15: A dialog box layout manager for Stata. T. Schmidt.
ip16: Using dialog boxes to vary program parameters. H. Newton.
Operating System, Hardware, & Interprogram Communication
os16: Importing Stata graphs into word processors on the Macintosh. C. Nguyen.
os16.1: Importing Stata graphs into word processors on the Macintosh: Part 2. C. Nguyen.
Biostatistics and Epidemiology
sbe13: Age-specific reference intervals ("normal ranges"). E. Wright & P. Royston.
sbe13.1: Correction to age-specific reference intervals ("normal ranges"). E. Wright & P. Royston.
sbe13.2: Correction to age-specific reference intervals ("normal ranges"). E. Wright & P. Royston.
sbe14: Odds ratios and confidence intervals for logistic regression models with effect modification. J. Garrett.
Exploratory Data Analysis
sed10: Patterns of missing data. R. Goldstein.
sed10.1: Update to pattern. R. Goldstein.
General Statistics
sg42.1: Extensions to the regpred command. M. Over.
sg49.1: An improved command for paired t tests: Correction. J. Gleason.
sg51: Inference about correlations using the Fisher z-transform. J. Gleason.
sg52: Testing dependent correlation coefficients. R. Goldstein.
sg53: Maximum-likelihood complementary log-log regression. J. Hilbe.
sg54: Extended probit regression. J. Hilbe.
sg55: Extensions to the brier command. R. Goldstein.
sg56: An ado-file implementation of a simplex-based maximization algorithm. T. Barr.
sg57: An immediate command for two-way tables. N. Cox.
sg58: Mountain plots. R. Goldstein.
sg59: Index of ordinal variation and Neyman–Barton GOF. R. Goldstein.
sg60: Enhancements for the display of estimation results. J. Weesie.
sg61: Bivariate probit models. J. Hardin.
sg62: Hildreth–Houck random coefficients model. J. Hardin.
sg63: Logistic regression: Standardized coefficients and partial correlations. J. Hilbe.
sg64: pwcorrs: An enhanced correlation display. F. Wolfe.
sg65: Computing intraclass correlations and large ANOVAs. J. Gleason.
sg66: Enhancements to the alpha command. J. Weesie.
sg67: Univariate summaries with boxplots. J. Gleason.
sg68: Goodness-of-fit statistics for multinomial distributions. J. Weesie.
sg69: Immediate Mann–Whitney and binomial effect-size display. R. Goldstein.
Multivariate Analysis
smv3.1: Discriminant analysis: An enhanced command. J. Hilbe.
Nonparametric Methods
snp11: Test for trend across ordered groups revisited. P. Sasieni, K. Stepniewska, & D. Altman.
snp12: Stratified test for trend across ordered groups. P. Sasieni.
Time Series and Econometrics
sts11: Hildreth–Lu regression. J. Hardin.
sts12: A periodogram-based test for white noise. H. Newton.
Survey Sample
svy1: Some basic concepts for design-based analysis of complex survey data. J. Eltinge & W. Sribney.
svy2: Estimation of means, totals, ratios, and proportions for survey data. J. Eltinge & W. Sribney.
svy3: Describing survey data: sampling design and missing data. J. Eltinge & W. Sribney.
svy4: Linear, logistic, and probit regressions for survey data. J. Eltinge & W. Sribney.
svy5: Estimates of linear combinations and hypothesis tests for survey data. J. Eltinge & W. Sribney.
Not Elsewhere Classified
zz6: Cumulative index for STB-25 – STB-30.
--------------------------------------------------------------------------------
STB Reprints volume 5
Contents
Announcements
an54: STB-19 – STB-24 available in bound format. S. Becketti.
an55: New Stata for Macintosh released. W. Gould & C. Nguyen.
an56: Stata for Windows 95 and Stata for WindowsNT released. W.Gould & A. Riley.
an57: Stata is on the Web. C. Nguyen.
an58: Change of editors. S. Becketti.
StataCorp. Provided Support Materials
crc39: How to make older ado-files work correctly.
crc40: Correcting for ties and zeros in sign and rank tests.
crc41: New lfit, lroc, and lstat commands.
crc42: Improvements to the heckman command.
crc43: Wald test of nonlinear hypotheses after model estimation.
Data Management
dm27.1: Correction to improved collapse. W. Gould.
dm28: Calculate nice numbers for labeling or drawing grid lines. J. W. Hardin.
dm29: Create TeX tables from data. J. W. Hardin.
dm30: Comparing observations within a data file. R. Goldstein.
dm31: Counting missing values: an extension to egen. R.Goldstein.
dm32: Matching names in Stata. P. Sasieni.
dm33: Elapsed days using 30-day months. K. Heinecke.
dm34: Constructing axis labels for dates. S. Becketti.
dm35: A utility for surveying Stata-format data sets. T. Schmidt.
dm36: Comparing two Stata data sets. J. R. Gleason.
dm37: Extended merge capabilities. J. Faust.
dm38: A more automated merge procedure. R. M. Farmer.
dm39: Using .hlp files to document data analysis. M. Hills.
dm40: Converting string variables to numeric variables. R. M. Farmer.
dm41: Online documentation for _result() contents. J. R. Gleason.
Graphics
gr18: Graphing high-dimensional data using parallel coordinates. J. R. Gleason.
gr19: Misleading or confusing boxplots. J. C. Nash.
Instruction on Programming
ip8: An enhanced for command. J. P. Royston.
ip8.1: An even more enhanced for command. J. P. Royston.
ip9: Repeat Stata command by variable(s). J. P. Royston.
ip10: Finding an observation number. S. Becketti.
ip11: A tool for manipulating S_# objects. J. R. Gleason.
ip12: Parsing tokens in Stata. S. Becketti.
Biostatistics and Epidemiology
sbe12: Using lfit and lroc to evaluate mortality prediction models. J. Tilford, P. Roberson & D. Fiser.
General Statistics
sg26.3: Fractional polynomial utilities. J. P. Royston.
sg29.1: Tabulation of observed/expected ratios and confidence intervals: Update. P. Sasieni.
sg32.1: Variance inflation factors and variance-decomposition proportions: Correction. J. W. Hardin.
sg35: Robust tests for the equality of variances. M. A. Cleves.
sg35.1: Robust tests for the equality of variances: Correction. M. A. Cleves.
sg36: Tabulating the counts of multiple categorical variablesP. Sasieni.
sg37: Orthogonal polynomials. W. Sribney.
sg37.1: Orthogonal polynomials: Correction. W. Sribney.
sg38: Generating quantiles. W. Sribney.
sg39: Independent percentages in tables. B. Miller.
sg40: Testing for the mean of a skewed variable. R. Goldstein.
sg41: Random-effects probit. W. Sribney.
sg42: Plotting predicted values from linear and logistic regression models. J. Garrett.
sg43: Modified t statistics. R. Goldstein.
sg44: Random number generators. J. Hilbe & W. Linde-Zwirble.
sg45: Maximum-likelihood ridge regression. R. L. Obenchain.
sg46: Huber correction for two-stage least squares estimates. M. Over, D. Jolliffe, & A. Foster.
sg47: A plot and a test for the chi2 distribution. J. P. Royston.
sg48: Making predictions in the original metric for log-transformed models. R. Goldstein.
sg49: An improved command for paired t tests. J. R. Gleason.
sg50: Graphical assessment of linear trend. J. Garrett.
Nonparametric Methods
snp6.1: ASH, WARPing, and kernel density estimation for univariate data. I. Salgado-Ugarte, M. Shimizu, & T. Taniuchi.
snp6.2: Practical rules for bandwidth selection in univariate density estimation. I. Salgado-Ugarte, M. Shimizu, & T. Taniuchi.
snp8: Robust scatterplot smoothing: Enhancements to ksm. I. Salgado-Ugarte & M. Shimizu.
snp8.1: Robust scatterplot smoothing: Correction. S. Becketti.
snp9: Kornbrot's rank difference test. R. Goldstein.
snp10: Nonparametric regression: Kernel, WARP, and k-NN estimators. I. Salgado-Ugarte, M. Shimizu, & T. Taniuchi.
Survival Analysis
ssa7: Analysis of follow-up studies. D. Clayton & M. Hills.
ssa8: Analysis of case-control and prevalence studies. D. Clayton & M. Hills.
Time Series and Econometrics
sts10: Prais–Winsten regression. J. W. Hardin.
Not Elsewhere Classified
zz5: Cumulative index for STB-19 – STB-24.
--------------------------------------------------------------------------------
STB Reprints volume 4
Contents
Announcements
an42: STB-13 – STB-18 available in bound format. S. Becketti.
an43: New address for STB office. S. Becketti.
an44: StataQuest: Stata for teaching. S. Loll.
an44.1: StataQuest disk enclosed (really). P. Branton.
an45: Stata and Stage now available for DEC Alpha. T. McGuire.
an46: Stata and Stage now available for IBM PowerPC. T. McGuire.
an47: New associate editors. S. Becketti.
an48: Updated CPS labor extracts available. D. Feenberg.
an49: Stata listserver available. D. Wormuth.
an50: Submission guidelines. S. Becketti.
an51: Call for suggestions. S. Becketti.
an52: Stata 4.0 released. P. Branton.
an53: Implications of Stata 4.0 for the STB. S. Becketti.
StataCorp-provided support materials
crc36: Clarification on analytic weights with linear regression.
crc37: Commonly asked questions about Stata for Windows.
crc38: Installing Stata for Windows under OS/2 Warp.
Data management
dm17: Conversions for international date formats. P. Ryan.
dm18: Trailing moving averages for egen. S. Becketti.
dm19: Merging raw data and dictionary files. J. Nash.
dm20: Date functions. A. Riley.
dm21: Bringing large datasets into memory. R. Farmer.
dm22: Sorting in descending order. D. Mabb.
dm23: Saving a subset of the current data. D. Mabb.
dm24: Producing formatted tables. W. Rogers.
dm25: Recoding in steps. S. Becketti.
dm26: Labeling graphs with date formats. A. Riley.
dm27: An improved collapse, with weights. W. Gould.
Datasets
dt2: Reading public-use micro samples. C. Sigmund & D. Judson.
Graphics
gr14: dotplot: Comparative scatterplots. P. Sasieni & J. P. Royston.
gr15: Incorporating graphs in TEX using an HP printer. S. Becketti.
gr16: Convex hull programs. J. P. Gray & T. McGuire.
gr17: Switching graphics windows in Unix. P. Sasieni.
Instruction on programming
ip6: Storing variables in vectors and matrices. K. Heinecke.
ip6.1: Data and matrices. W. Gould.
ip6.2: Storing matrices as variables. W. Sribney.
ip7: Utility for debugging Stata programs. T. Schmidt.
Operating systems, etc.
os12: Windowed interfaces for Stata. W. Gould.
os13: Using awk and fgrep for selective extraction from Stata log files. N. J. Cox.
os14: A program to format raw data files. P. Swagel.
os15: The impact of the Pentium FDIV bug on Stata users. W. Gould.
Biostatistics and epidemiology
sbe11: Direct standardization. T. McGuire & J. Harrison.
Exploratory data analysis sed8: Finding significant gaps in univariate distributions. R. Goldstein.
sed9: Symmetric nearest neighbor linear smoothers. P. Sasieni.
General statistics
sg21.1: Equivalency testing: Correction. R. Goldstein.
sg25: Interaction expansion. W. Gould.
sg26: Using fractional polynomials to model curved regression relationships. J. P. Royston & D. Altman.
sg26.1: Fractional polynomials: Correction. J. P. Royston & D. Altman.
sg26.2: Calculating and graphing fractional polynomials. S. Becketti.
sg27: The overlapping coefficient and an "improved" rank-sum statistic. R. Goldstein.
sg28: Multiple comparison of categories after regression-like methods. W. Rogers.
sg29: Tabulation of observed/expected ratios and confidence intervals. P. Sasieni.
sg30: Measures of inequality in Stata. E. Whitehouse.
sg31: Measures of diversity: Absolute and relative. R. Goldstein.
sg32: Variance inflation factors and variance-decomposition proportions. J. Hardin.
sg33: Calculation of adjusted means and adjusted proportions. J. Garrett.
sg34: Jackknife estimation. W. Gould.
Nonparametric methods
snp7: Natural cubic splines. P. Sasieni.
snp7.1: Natural cubic splines: Correction. P. Sasieni.
Analysis of qualitative variables
sqv9: Probit coefficients as changes in probabilities. W. Gould.
sqv10: Expanded multinomial comparisons. W. Rogers.
Survival analysis
ssa3: Adjusted survival curves. W. Rogers.
ssa4: Ex post tests and diagnostics for a proportional hazards model. W. Rogers.
ssa5: Note on time intervals in time-varying regression. W. Rogers.
ssa6: Utilities for survival analysis with time-varying regressors. P. Bocquier.
Simulation and random numbers
ssi5.3: Correction to Ridder's method. T. McGuire.
ssi5.4: Correction to error term in Ridder's method. A. Riley.
ssi6: Routines to speed Monte-Carlo experiments. W. Gould.
ssi6.1: Simplified Monte-Carlo simulations. W. Gould.
ssi6.2: Faster and easier bootstrap estimation. W. Gould.
Social science and psychometrics
sss1.1: Updated U.S. marginal income tax rate function. T. Schmidt.
Time series and econometrics
sts7.2: A library of time-series programs (update). S. Becketti.
sts7.3: A library of time-series programs (update). S. Becketti.
sts7.4: A library of time-series programs (update). S. Becketti.
sts7.5: A library of time-series programs (update). S. Becketti.
sts7.6: A library of time-series programs (update). S. Becketti.
sts8: Hansen's test for parameter instability. K. Heinecke & C. Morris.
sts9: Johansen's test for cointegration. K. Heinecke & C. Morris.
Not elsewhere classified
zz3.3: Computerized index for the STB (update). W. Gould.
zz3.7: Computerized index for the STB replaced in Stata 4.0. W. Gould.
zz4: Cumulative index for STB-13 – STB-18.
--------------------------------------------------------------------------------
STB Reprints volume 3
Title: Stata Technical Bulletin Reprints volume 3
Author: StataCorp, Stata users, and others
Pages: 242
Publisher: Stata Press
Copyright: 1994
ISBN: 1-881228-12-6
Price: $20.00 $10.00
Contents
Announcements
an31: Statement from the new editor. S. Becketti.
an32: STB-7 – STB-12 available in bound format. S. Becketti.
an33: CRC has a new address and new name. A. Humphreys.
an34: Stata 3.1 is available now. P. Branton.
an35: A first look at Stata 3.1 S. Becketti.
an36: Stata 3.0 users beware! S. Becketti.
an37: Stata classes and programming services available. E. Best.
an38: Stata distributor in France. A. Humphreys.
an39: NSF funds workshops on EDA for social scientists. J. Anagnoson.
an40: Italian translation of Principles of Biostatistics. S. Becketti.
an41: STB office moving. S. Becketti.
Communications and letters
cc1: Stata chosen for the Medicare program. C. Chapin.
cc2: Running the Stata tutorials on a network. A. Reese.
StataCorp-provided support materials
crc30: Linearly interpolate (extrapolate) values.
crc31: Categorical variable histogram.
crc32: Correction to 3.1 manual description of S_MACH.
crc33: Linear spline construction.
crc34: Programming command: marking observations for inclusion.
crc35: Warning about parity checking on DOS computers.
Data management
dm12.1: Selecting claims from the medical claims data bases. R. Vaughn.
dm13: Person name extraction. W. Gould.
dm13.1: String manipulation functions. W. Gould.
dm14: Converting Julian dates to Stata elapsed dates. C. Chapin.
dm14.1: Converting Stata elapsed dates to Julian dates. S. Becketti.
dm15: Interactively list values of variables. A. Riley.
dm16: Compact list of a single variable. P. Royston and P. Sasieni.
Datasets
dt1: Five datasets for teaching. J. Anagnoson.
Graphics
gr13: Incorporating Stata-created PostScript files into TeX/LaTeX documents. T. Soon and S. Saw.
gr13.1: \special{} effects with Stata graphs in TeX documents. S. Becketti.
Instruction on programming
ip4: Program debugging command. S. Becketti.
ip5: A temporary solution to a problem with temporary variable names. C. Hakkio.
Operating systems, etc.
os5.1: Running Intercooled Stata under OS/2 2.1. W. Gould.
os8: Stata and Lotus 1-2-3. P. Royston.
os9: Printing Stata log files. S. Becketti.
os10: A method for taking notes during a Stata session. W. Rising.
os11: A poor-man's windowing environment for Stata. P. Geiger.
Questions and suggestions
qs5: How to create stacked bar charts of percentages. F. Knaul.
qs6: Query for chemists, physiologists, and pharmacologists. P. Geiger.
qs7: Maximum-likelihood estimation of Gaussian mixtures. I. Salgado-Ugarte.
General statistics
sg5.1: Correlation coefficients with significance levels. S. Becketti.
sg11.2: Calculation of quantile regression standard errors. W. Rogers.
sg16.2: GLM: A unified power-link based program including the negative binomial. J. Hilbe.
sg16.3: Quasi-likelihood modeling using an enhanced glm command. J. Hilbe.
sg16.4: Comparison of nbreg and glm for negative binomial. W. Rogers.
sg16.5: Negative binomial regression. J. Hilbe.
sg17: Regression standard errors in clustered samples. W. Rogers.
sg18: An improved R-square. P. Royston.
sg19: Linear splines and piecewise linear functions. W. Gould.
sg20: Point biserial correlation. J. Anderson.
sg21: Equivalency testing. R. Goldstein.
sg22: Generalized linear models: revision of glm. P. Royston.
sg22.1: Comment on Royston's revision of glm. J. Hilbe.
sg22.2: Certifications of glmr. W. Gould.
sg22.3: Generalized linear models: revision of glm. Rejoinder. P. Royston.
sg23: Semi-graphical determination of Gaussian components in mixed distributions. I. Salgado-Ugarte, M. Shimizu, and T. Taniuchi.
sg24: The piecewise linear spline transformation. C. Panis.
Nonparametric methods
snp5: The run test for random order. S. Becketti.
snp6: Exploring the shape of univariate data using kernel density estimators. I. Salgado-Ugarte, M. Shimizu, and T. Taniuchi.
Quality control
sqc1: Estimating process capability indices with Stata. S. Saw and T. Soon.
Analysis of qualitative variables
sqv8: Interpreting multinomial logistic regression. L. Hamilton and C. Seyfrit.
Simulation and random numbers
ssi4: Confidence intervals in logit and probit models. W. Gould.
ssi5: Equation solving my bisection. W. Gould.
ssi5.1: Graphing functions. W. Gould.
ssi5.2: Equation solving by Ridder's method. T. McGuire.
Social science and psychometrics
sss1: Calculating U.S. marginal income tax rates. T. Schmidt.
Time series and econometrics
sts3: Cross correlations. S. Becketti.
sts4: A suite of programs for time series regression. S. Becketti.
sts4.1: More on time series regression. S. Becketti.
sts5: Detrending with the Hodrick-Prescott filter. T. Schmidt.
sts6: Approximate p-values for unit root and cointegration tests. C. Hakkio.
sts7: A library of time series programs for Stata. S. Becketti.
sts7.1: A library of time series programs (update). S. Becketti.
Not elsewhere classified
zz3: Computerized index for the STB. W. Gould.
--------------------------------------------------------------------------------
STB Reprints volume 2
Contents
Announcements
an17: Stata seminars announced. J. Hilbe
an18: STB-1 – STB-6 available in bound format. J. Hilbe
an19: Stand-alone statistical tools. G. Dallal.
an20: Stata U.K. distributor. C. Fox.
an21: Stata for Apple Macintosh. T. Anderson.
an22: Stata for RS/6000 workstation. T. Anderson.
an23: CPS labor extracts available. D. Feenberg.
an24: Stata for Macintosh ships. T. Anderson.
an25: Complimentary STB subscription for school libraries. P. Branton.
an26: Request for data management problems. J. Anagnoson.
an27: Pagano and Gauvreau text available. T. Anderson.
an28: Spanish analysis of biological data text published. I. Salgado-Ugarte.
an29: New edition of Statistics with Stata published. T. Anderson.
an30: Editorship turnover. J. Hilbe.
CRC-provided support materials
crc12.1: Oops!, again.
crc13: Short describes, finding variables, and codebooks.
crc14: Pairwise correlation coefficients.
crc15: Parse bug.
crc16: Encapsulated PostScript driver.
crc17: Bug fixes.
crc18: Important differences between regular and Intercooled Stata.
crc19: Nonlinear regression command.
crc20: Stata expression-processing bug.
crc21: True Kaplan-Meier estimates for ltable.
crc22: Error fixed in rchart.
crc23: Minor bug fixes.
crc24: Error in corc.
crc25: Problem with tobit.
crc26: Improvement to poisson.
crc27: More extensions to generate: categorical variables.
crc28: Repeat command with specified arguments.
crc29: Macintosh report.
Data management
dm7: Utility to reverse variable coding. M. Jacobs.
dm8: Command to unblock datasets. J. Hilbe.
dm9: An ANOVA blocking utility. P. Lachenbruch.
dm10: Infiling data: Automatic dictionary creation. W. Gould.
dm11: Matching the Current Population Surveys. F. Welch.
dm12: Selecting claims from medical claims data bases. R. Vaughn.
Graphics
gr3.1: Crude 3-dimensional graphics revisited. W. Gould.
gr10.1: Printing graphs and creating WordPerfect graph files. M. Jacobs.
gr11: Using CorelDraw as a Stata graphics editor. M. Jacobs.
gr12: Graphs of means and medians by categorical variables. W. Gould.
Instruction on programming
ip2: A keyboard shortcut. P. Lachenbruch.
ip3: Stata programming. W. Gould.
ip3.1: Stata programming. W. Gould.
Operating systems, etc.
os4: Stata icon for Microsoft Windows 3.1. J. Hilbe.
os5: Running Stata under OS/2 2.0. J. Hilbe.
os6: Importing and exporting text files with Stata. P. Goldberg.
os7: Stata and windowed operating systems. W. Gould.
os7.1: Stata and windowed interfaces. W. Rising.
os7.2: Response. W. Gould.
os7.3: CRC committed to Stata's command language. W. Gould.
Biostatistics and epidemiology
sbe2.1: Bailey-Makeham survival models. W. Rogers.
sbe2.2: Faster hpredict.exe. H. Krakauer.
sbe5: Calculating person-years and incidence rates. J. Hilbe.
sbe6: 3 x 3 matched case-control tests. J. Hilbe.
sbe7: Hyperbolic regression analysis in biomedical applications. P. Geiger.
sbe7.1: Hyperbolic regression correction. P. Geiger.
sbe8: Left-censored survival data. W. Rogers.
sbe9: Brier score decomposition. W. Rogers.
sbe10: An improvement to poisson. G. Rodriguez.
Exploratory data analysis
sed7: Resistant smoothing using Stata. I. Salgado-Ugarte and J. Curts-Garcia.
sed7.1: Resistant nonlinear smoothing using Stata. W. Gould.
sed7.2: Twice reroughing procedure for resistant nonlinear smoothing. I. Salgado-Ugarte and J. Curts-Garcia.
General statistics
sg1.2: Nonlinear regression command. P. Royston.
sg1.3: Nonlinear regression command, bug fix. P. Royston.
sg1.4: Standard nonlinear curve fits. P. Royston.
sg1.5: Standard nonlinear curve fits update. P. Royston.
sg7: Centile estimation command. P. Royston.
sg8: Probability weighting. W. Rogers.
sg8.1: Huber exponential regression. W. Rogers.
sg9: Similarity coefficients for 2 x 2 binary data. J. Hilbe.
sg9.1: Additional statistics to similari output. J. Hilbe.
sg10: Confidence limits to bivariate linear regression. P. Geiger.
sg11: Quantile regression standard errors. W. Rogers.
sg11.1: Quantile regression with bootstrapped standard errors. W. Gould.
sg12: Extended tabulate utilities. D. Judson.
sg13: Is a transformation of the dependent variable necessary? R. Goldstein.
sg14: Is a transformation of the independent variable necessary? R. Goldstein.
sg15: Sample size determination for means and proportions. J. Hilbe.
sg16: Generalized linear models. J. Hilbe.
sg16.1: Generalized linear models using power links. J. Hilbe.
Multivariate analysis
smv5.1: Loglinear analysis of cross classifications, update. D. Judson.
smv6: Identifying multivariate Outliers. W. Gould and A. Hadi.
Nonparametric methods
snp4: Nonparametric test for trend across ordered groups. K. Stepniewska and D. Altman.
Analysis of qualitative variables
sqv3: Wald and Atkinson's R extensions to logistic. J. Hilbe.
sqv3.1: Graphical display of Atkinson's R values. M. Jacobs.
sqv4: Calculating deviance goodness-of-fit statistic after logistic. J. Hilbe.
sqv4.1: Correction to ldev command output. J. Hilbe.
sqv5: Univariate log-likelihood tests for model identification. J. Hilbe.
sqv6: Smoothed partial residual plots for logistic regression. J. Hilbe.
sqv7: Cusum plots and tests for binary variables. P. Royston.
Robust methods and statistical diagnostics
srd13: Maximum R-squared and pure error lack-of-fit test. R. Goldstein.
srd14: Cook-Weisberg test for heteroscedasticity. R. Goldstein.
srd15: Restricted cubic spline functions. R. Goldstein.
Simulation and random numbers
ssi3: Continuous dynamic system modeling and simulation with Stata. F. Danuso.
Time series and econometrics
sts2: Using Stata for time series analysis. S. Becketti.
Teaching
tt4: Teaching ecology with Stata. J. Taylor.
tt5: Simple chemical equilibrium. P. Geiger.
tt6: Courseware. W. Gould and W. Rogers.
tt6.1: Courseware guidelines. W. Gould and W. Rogers.
tt6.2: Duxbury Press looking for courseware authors. S. Loll.
--------------------------------------------------------------------------------
STB Reprints volume 1
Contents
Announcements
an1: STB overview. J. Hilbe.
an2: The editorial board. J. Hilbe.
an3: STB and STB disk subscriptions.
an4: Submission guidelines.
an5: BeNeLux countries Stata Distributor. J. Groot.
an6: CRC provides 800 service to Canada. C. Fox.
an7: Physiatric research supplement available. T. Findley.
an8: Stata-based instructional software for social science. M. Macy.
an9: Change in associate editors. J. Hilbe.
an10: Stata available for DECstation. T. Anderson.
an11: Stata X-Window driver available for SPARC. T. Anderson.
an12: CRC has new area code. C. Fox.
an13: TCL now marketing Stata in UK. A. Timberlake.
an14: SAS's new technical journal. J. Hilbe.
an15: Regression with Graphics released. J. Hilbe.
an15.1: Regression with Graphics available from CRC. L. Brown.
an16: Stata 3.0 released. T. Anderson.
an16.1: Implications for the STB. J. Hilbe.
CRC-provided support materials
crc1: CRC provided support materials.
crc2: File comparison command.
crc3: Variable comparison command.
crc4: Dataset rectangularization command.
crc5: Dataset transposition command.
crc6: Likelihood-ratio test command.
crc7: Corrections and changes in ado-files.
crc8: Actuarial or life-table analysis of time-to-event data.
crc9: Replacing coded missing values.
crc10: Correction and updates to "roc" and "poisson" commands.
crc11: Drawing random samples.
crc12: Oops!
Data management
dm1: Data calculator. M. Ureta.
dm2: Data format conversion using DBMS/Copy & Stat/Transfer. J. Hilbe.
dm2.1: Vendor's response to review. S. Dubnoff.
dm2.2: Stat/Transfer 2.0 review update. J. Hilbe.
dm3: Automatic command logging in Stata. D. Judson.
dm3.1: Typesetting correction.
dm4: A duplicate value identification program. M. Jacobs.
dm5: Creating a grouping variable for datasets. M. Jacobs.
dm6: A utility to document beginning and ending variable dates. S. Becketti.
Graphics
gr1: Enhancing visual display using stem-and-leaf. P. Geiger.
gr2: Importing Stata graphics into MS-Word or WordPerfect. R. DeLeon and J. Anagnoson.
gr3: Crude 3-dimensional graphics. W. Gould.
gr4: 3-dimensional contour plots using Stata and Stage. G. van de Kuilen.
gr5: Triangle graphic for soil texture. F. Danuso.
gr6: Lowess smoothing. P. Royston.
gr7: Using Stata graphs in Windows 3.0. J. Hilbe.
gr8: Printing a series of Stata Graphs. J. Anderson.
gr9: Partial residual graphs for linear regression. J. Hilbe.
gr10: Printing graphs and creating WordPerfect graph files. T. Saving and J. Montgomery.
Instruction
in1: Installation of the STB disk.
Instruction on programming
ip1: Customizing a Stata menu system. M. Jacobs.
Operating systems, etc.
os1: Gphpen and colour PostScript. R. Reese.
os1.1: Update on gphpen and colour PostScript use. R. Reese.
os2: Questions and answers about Stat/Transfer. S. Dubnoff.
os2.1: Addendum. T. Anagnoson.
os3: Using Intercooled Stata with DOS 5.0. J. Hilbe.
os3.1: Comment. M. Jacobs.
os3.2: Follow-up question. A. Katz.
Queries and suggestions
qs1: Request for Stata course outline. P. Geiger.
qs2: Why is the cubic spline so-called? T. Anagnoson.
qs3: Request for confidence intervals for proportions. I. Zavala.
qs4: Request for additional smoothers. I. Ugarte.
Biostatistics and epidemiology
sbe1: Poisson regression with rates. W. Rogers.
sbe2: Bailey-Makeham survival models. W. Rogers.
sbe3: Biomedical analysis: Radioimmunoassay calculations. P. Geiger.
sbe4: Further aspects of RIA analysis. P. Geiger.
Exploratory data analysis
sed1: Stata and the four R's of EDA. R. DeLeon and T. Anagnoson.
sed2: Ladder-of-powers variable transformation. W. Gould and J. Hilbe.
sed3: Variable transformation and evaluation. T. Findley.
sed4: Resistant normality check and outlier determination. L. Hamilton.
sed5: Enhancement of the Stata collapse command. P. Banens.
sed6: Quartiles, outliers, and normality: Some Monte Carlo results. L. Hamilton.
General statistics
sg1: Nonlinear regression command. F. Danuso.
sg1.1: Correction to the nonlinear regression program. J. Hilbe.
sg2: Exact and cumulative Poisson probabilities. J. Hilbe.
sg3: Skewness and kurtosis test of normality. W. Gould.
sg3.1: Tests for departure from normality. P. Royston.
sg3.2: Shapiro-Wilk and Shapiro-Francia tests ado-files. P. Royston.
sg3.3: Comment on sg3.1. R. D'Agostino, A. Belanger, and R. D'Agostino Jr.
sg3.4: Summary of tests of normality. W. Gould and W. Rogers.
sg3.5: Comment on sg3.4 and an improved D'Agostino test. P. Royston.
sg3.6: Comment on sg3.3. P. Royston.
sg3.7: Final summary of tests of normality. W. Gould.
sg4: Confidence intervals for t-test. R. Goldstein.
sg5: Correlation coefficients with significance levels. S. Becketti.
sg6: Regression switching models. D. Benjamin and W. Gould.
Multivariate analysis
smv1: Single-factor repeated measures ANOVA. J. Hilbe.
smv1.1: Minor change to program. J. Hilbe.
smv2: Analyzing repeated measurements — some practical alternatives. W. Rogers.
smv3: Regression-based dichotomous discriminant analysis. J. Hilbe.
smv4: One-way multivariate analysis of variance (MANOVA). J. Hilbe.
smv5: Performing loglinear analysis of cross-classifications. D. Judson.
Nonparametric methods
snp1: Kolmogorov-Smirnov one- and two-variable tests. L. Giventer.
snp2: Friedman's ANOVA test and Kendall's coefficient of concordance. R. Goldstein.
snp3: Phi coefficient (fourfold correlation). R. Goldstein.
Analysis of qualitative variables
sqv1: Additional logistic regression extensions. J. Hilbe.
sqv1.1: Correction to logit regression extensions. J. Hilbe.
sqv1.2: Additional diagnostic: Cook's distance. J. Hilbe.
sqv1.3: An enhanced logistic regression program. J. Hilbe.
sqv1.4: Typographical correction. J. Hilbe.
sqv2: A graphical method for assessing goodness-of-fit of logit models. D. Judson.
Robust methods and statistical diagnostics
srd1: How robust is robust regression? L. Hamilton.
srd2: Test for multivariate normality. R. Goldstein.
srd3: One-step Welsch bounded-influence estimator. R. Goldstein.
srd4: Test for general specification error in linear regression. R. Goldstein.
srd5: Ramsey test for heteroscedasticity and omitted variables. R. Goldstein.
srd6: A randomization test for the equality of two groups. R. Goldstein.
srd7: Adjusted summary statistics for logarithmic regressions. R. Goldstein.
srd8: Interpretations of dummies in regressions with log dependent variables. R. Goldstein.
srd9: Box-Cox statistics for help in choosing transformations. R. Goldstein.
srd10: Maximum-likelihood estimation for Box-Cox transformation. P. Royston.
srd11: Generating ordered ("cascading") dummy variables. R. Goldstein.
srd12: Some model selection statistics. R. Goldstein.
Survival analysis
ssa1: Actuarial or life-table analysis of time-to-event data. H. Krakauer and J. Stewart.
ssa1.1: Menu interface to life-table command. W. Gould.
ssa2: Tabulating survival statistics. W. van Putten.
Simulation and random numbers
ssi1: Monte Carlo simulation. L. Hamilton.
ssi2: Bootstrap programming. L. Hamilton.
Time series and econometrics
sts1: Autocorrelation and partial autocorrelation graphs. S. Becketti.
Teaching
tt1: Teaching beginning students with Stata. T. Anagnoson and R. DeLeon.
tt2: Using "front ends" for Stata. M. Macy.
tt3: Teaching biochemistry and chemistry: Understanding buffer solutions. P. Geiger.
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