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Handbook of Statistical Analyses Using Stata[2000]第二版
基于stata6的资料
1 A Brief Introduction to Stata
1.1 Getting help and information
1.2 Running Stata
1.3 Datasets in Stata
1.4 Stata commands
1.5 Data management
1.6 Estimation
1.7 Graphics
1.8 Stata asa calculator
1.9 Brief introduction to programming
1.10 Keeping Stata up to date
1.11 Exercises
2 Data Description and Simple Inference: Female Psychiatric
Patients
2.1 Description of data
2.2 Group comparison and correlations
2.3 Analysis using Stata
2.4 Exercises
3 Multiple Regression: Determinants of Pollution in U.S. Cities
3.1 Description of data
3.2 The multiple regression model
3.3 Analysis using Stata
3.4 Exercises
4 Analysis of Variance I: Treating Hypertension
4.1 Description of data
4.2 Analysis of variance model
4.3 Analysis using Stata
4.4 Exercises
5 Analysis of Variance II: E?ectiveness of Slimming Clinics
5.1 Description of data
5.2 Analysis of variance model
5.3 Analysis using Stata
5.4 Exercises
Logistic Regression: Treatment of Lung Cancer and
Diagnosis of Heart Attacks
6.1 Description of data
6.2 The logistic regression model
6.3 Analysis using Stata
6.4 Exercises
Generalized Linear Models: Australian School Children
7.1 Description of data
7.2 Generalized linear models
7.3 Analysis using Stata
7.4 Exercises
Analysis of Longitudinal Data I: The Treatment of Postnatal
Depression
8.1 Description of data
8.2 The analysis of longitudinal data
8.3 Analysis using Stata
8.4 Exercises
Analysis of Longitudinal Data II: Epileptic Seizures
and Chemotherapy
9.1 Introduction
9.2 Possible models
9.3 Analysis using Stata
9.4 Exercises
Some Epidemiology
10.1 Description of data
10.2 Introduction to Epidemiology
10.3 Analysis using Stata
10.4 Exercises
Survival Analysis: Retention of Heroin Addicts in Methadone
Maintenance Treatment
11.1 Description of data
11.2 Describing survival times and Cox’s regression model
11.3 Analysis using Stata
11.4 Exercises
12 Principal Components Analysis: Hearing Measurement
using an Audiometer
12.1 Description of data
12.2 Principal component analysis
12.3 Analysis using Stata
12.4 Exercises
13 Maximum Likelihood Estimation: Age of Onset of
Schizophrenia
13.1 Description of data
13.2 Finite mixture distributions
13.3 Analysis using Stata
13.4 Exercises
Appendix: Answers to Selected Exercises
References
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其他资料见
http://www.econ.uiuc.edu/~econ472/tutorial1.html
Notes by Carlos Lamarche
Issue Date Topic Download your copy
1 Sep. 1 A Brief Introduction to STATA e-Tutorial 1
2 Sep. 1 A Brief Introduction to R e-Tutorial 2
3 Sep. 1 Box-Cox Transformation and Partial Residual Plot e-Tutorial 3
4 Sep. 9 Introduction to Dynamic Models e-Tutorial 4
5 Sep. 16 Akaike and Schwarz Information Criteria e-Tutorial 5
6 Sep. 16 Delta-Method and Bootstrap Techniques e-Tutorial 6
7 Sep. 30 Autocorrelation, Arch, and Heteroscedasticity e-Tutorial 7
8 Oct. 7 Granger Causality e-Tutorial 8
9 Oct. 7 Units Roots and Cointegration e-Tutorial 9
10 Oct. 14 Monte Carlo Simulation and Nonlinear Regression e-Tutorial 10
11 Oct. 14 Simultaneous Equation Models e-Tutorial 11
12 Oct. 28 Panel Data I e-Tutorial 12
13 Nov. 4 Panel Data II e-Tutorial 13
14 Nov. 4 Measures of Inequality e-Tutorial 14
15 Nov. 11 Quantile Regression e-Tutorial 15
16 Nov. 11 Binary Data Models e-Tutorial 16
17 Nov. 18 Censored Regression Models e-Tutorial 17
18 Nov. 18 Duration Models e-Tutorial 18
regression
regression with panel data
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Resources to help you learn and use Stata
http://www.ats.ucla.edu/stat/stata/default.htm
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