[讨论]Stata: Resources For Learning Stata

Annotated Stata Output

These pages contain example Stata programs and output with footnotes explaining the meaning of the output. This is to help you more effectively read the output that you obtain from Stata and be able to give accurate interpretations.

• Annotated output for the summarize command
• Annotated output for the correlation command
• Annotated output for the regress command
• Annotated output for the logistic command
• Annotated output for the ologit command
• Annotated output for the mlogit command
• Annotated output for the factor command

Stata Textbook Examples: Intro Practice Statistics, by Moore and McCabe

See Where to buy books for tips on different places you can buy these books.We are very grateful to the authors and to W.H. Freeman and the authors for granting us permission to distribute the data from this book at our web site.

• Web Site for Book

Chapter Examples Solved in Stata

• Download Stata data files
• Chapter 1
• Chapter 2
• Chapter 5
• Chapter 6
• Chapter 7
• Chapter 8
• Chapter 10
• Chapter 11

Simulations and Demonstrations

• Chapter 4
• Chapter 5

Introductory Statistics

• Introduction to the Practice of Statistics by David Moore and George McCabe
• Statistical Methods for the Social Sciences by Alan Agresti and Barbara Finley

Regression Methods

• Applied Regression Analysis, Linear Models, and Related Methods by John Fox
• Regression Analysis by Example by Samprit Chatterjee, Ali S. Hadi & Bertram Price
• Regression with Graphics by Lawrence Hamilton
• Statistical Methods for Categorical Data Analysis by Daniel Powers and Yu Xie
• Applied Linear Statistical Models, 4th Ed., by Neter, Kutner, Nachtsheim, and Wasserman

Latent Variable Modeling

• Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models by Anders Skrondal and Sophia Rabe-Hesketh

Longitudinal Data Analysis

• Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence by Judith D. Singer and John B. Willett

Logistic Regression and Related Methods

• Applied Logistic Regression by David Hosmer and Stanley Lemeshow
• Applied Logistic Regression (2nd Edition) by David Hosmer and Stanley Lemeshow
• Regression Models for Categorical and Limited Dependent Variables by J. Scott Long
• An Introduction to Categorical Data Analysis by Alan Agresti

Multilevel Modeling

• Introduction to Multilevel Modeling by Ita Kreft and Jan de Leeuw
• Hierarchical Linear Models, 2nd edition by Anthony Bryk and Stephen Raudenbush
• Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling by Tom Snijders and Roel Bosker.
• Multilevel Analysis: Techniques and Applications by Joop Hox

Multivariate Statistics

• Computer-Aided Multivariate Analysis, Fourth Edition by A. A. Afifi, V. Clark and S. May
• Computer-Aided Multivariate Analysis, Third Edition by A. A. Afifi and V. Clark
• Using Multivariate Statistics 4th edition by Barbara Tabachnick and Linda Fidell

Survival Analysis

• Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence by Judith D. Singer and John B. Willett
• Applied Survival Analysis by David W. Hosmer, Jr. and Stanley Lemeshow

Analysis of Variance

• Design and Analysis by Geoffrey Keppel
• Experimental Design by Roger Kirk

Economics

• Econometric Analysis, Fourth Edition by William Greene
• Introductory Econometrics: A Modern Approach by Jeffrey M. Wooldridge (courtesy of the Faculty Micro Resource Center's GSA Program, a unit of Boston College Academic Technology Support)
• Econometric Analysis of Cross Section and Panel Data by Jeffrey M. Wooldridge

Survey Sampling

• Sampling of Populations: Methods and Applications, 3rd Edition by Paul Levy and Stanley Lemeshow
• Practical Methods for Design and Analysis of Complex Surveys, Revised Edition by Risto Lehtonen and Erkki Pahkinen
• Elementary Survey Sampling, 5th Edition by Scheaffer, Mendenhall and Ott
• Sampling: Design and Analysis by Sharon L. Lohr

Graphics

• Visualizing Data by William S. Cleveland

See also

• See all books with textbook examples for any package
• Statistics Books for Loan
• Statistics Books for Loan on Stata

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[讨论]Stata: Resources For Learning Stata
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现代医学统计方法与Stata应用（超星pdg格式）

XTIVREG2: Stata module to perform extended IV/2SLS, GMM and AC/HAC, LIML and k-class regression for panel data models

thank you!

thanks a lot

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