4th Edition

Handbook of Statistical Analyses Using Stata




ISBN 9781584887560
Published November 15, 2006 by Chapman and Hall/CRC
354 Pages - 71 B/W Illustrations

 
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Book Description

With each new release of Stata, a comprehensive resource is needed to highlight the improvements as well as discuss the fundamentals of the software. Fulfilling this need, A Handbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to Stata version 9. This edition covers many new features of Stata, including a new command for mixed models and a new matrix language.

Each chapter describes the analysis appropriate for a particular application, focusing on the medical, social, and behavioral fields. The authors begin each chapter with descriptions of the data and the statistical techniques to be used. The methods covered include descriptives, simple tests, variance analysis, multiple linear regression, logistic regression, generalized linear models, survival analysis, random effects models, and cluster analysis. The core of the book centers on how to use Stata to perform analyses and how to interpret the results. The chapters conclude with several exercises based on data sets from different disciplines.

A concise guide to the latest version of Stata, A Handbook of Statistical Analyses Using Stata, Fourth Edition illustrates the benefits of using Stata to perform various statistical analyses for both data analysis courses and self-study.

Table of Contents

A BRIEF INTRODUCTION TO STATA
Getting Help and Information
Running Stata
Conventions Used in This Book
Datasets in Stata
Stata Commands
Data Management
Estimation
Graphics
Stata as a Calculator
Matrix Calculations Using Mata
Brief Introduction to Programming
Keeping Stata Up to Date
Exercises
DATA DESCRIPTION AND SIMPLE INFERENCE: FEMALE PSYCHIATRIC PATIENTS
Description of Data
Group Comparison and Correlations
Analysis Using Stata
Exercises
MULTIPLE REGRESSION: DETERMINANTS OF POLLUTION IN U.S. CITIES
Description of Data
The Multiple Regression Model
Analysis Using Stata
Exercises
ANALYSIS OF VARIANCE I: TREATING HYPERTENSION
Description of Data
Analysis of Variance Model
Analysis Using Stata
Exercises
ANALYSIS OF VARIANCE II: EFFECTIVENESS OF SLIMMING CLINICS
Description of Data
Analysis of Variance Model
Analysis Using Stata
Exercises
LOGISTIC REGRESSION: TREATMENT OF LUNG CANCER AND DIAGNOSIS OF HEART ATTACKS
Description of Data
The Logistic Regression Model
Analysis Using Stata
Exercises
GENERALIZED LINEAR MODELS: AUSTRALIAN SCHOOL CHILDREN
Description of Data
Generalized Linear Models
Analysis Using Stata
Exercises
SUMMARY MEASURE ANALYSIS OF LONGITUDINAL DATA: TREATMENT OF POST-NATAL DEPRESSION
Description of Data
The Analysis of Longitudinal Data
Analysis Using Stata
Exercises
RANDOM EFFECTS MODELS: THOUGHT DISORDER AND SCHIZOPHRENIA
Description of Data
Random Effects Models
Analysis Using Stata
Thought Disorder Data
Exercises
GENERALIZED ESTIMATING EQUATIONS: EPILEPTIC SEIZURES AND CHEMOTHERAPY
Description of Data
Generalized Estimating Equations
Analysis Using Stata
Exercises
SOME EPIDEMIOLOGY
Description of Data
Introduction to Epidemiology
Analysis Using Stata
Exercises
SURVIVAL ANALYSIS: RETENTION OF HEROIN ADDICTS IN METHADONE MAINTENANCE TREATMENT
Description of Data
Survival Analysis
Analysis Using Stata
Exercises
MAXIMUM LIKELIHOOD ESTIMATION: AGE OF ONSET OF SCHIZOPHRENIA
Description of Data
Finite Mixture Distributions
Analysis Using Stata
Exercises
PRINCIPAL COMPONENTS ANALYSIS: HEARING MEASUREMENT USING AN AUDIOMETER
Description of Data
Principal Component Analysis
Analysis Using Stata
Exercises
CLUSTER ANALYSIS: TIBETAN SKULLS AND DETERMINANTS OF POLLUTION IN U.S. CITIES
Description of Data
Cluster Analysis
Analysis Using Stata
Exercises
APPENDIX: ANSWERS TO SELECTED EXERCISES
REFERENCES
INDEX

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Author - Sophia  Rabe-Hesketh
Author

Sophia Rabe-Hesketh

Professor, University of California, Berkeley
Berkeley, CA, USA

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Reviews

“…In this recent edition more exercises have been included at the end of each chapter. The exercises make use of data sets in the examples and further data sets that are downloadable from the Internet, giving the reader the opportunity to explore. The index is clear to follow and throughout the book there are plenty of references. The book is very accessible for the Stata novice or those requiring a concise summary of Stata’s functionality.”
—Diane Berry (University College London), Journal of the Royal Statistical Society

“…The book is clearly written and it provides a good introduction to the Stata language. … The book excels in giving very clear and concise descriptions of a number of important, modern statistical methodologies. …”
—Michael Evans (University of Toronto), International Statistical Review, 2007

“Rabe-Hesketh and Everitt provide an authoritative overview of modern methods of applied statistics. … they cover the major methods of biostatistics together with explanations of how to perform these analyses using Stata. The authors also provide valuable references to other texts … The many examples and effective graphics add greatly to the value of this publication. … This book is well written and carefully copyedited. … owners of the [previous] editions would benefit  from the updated material … a valuable overview of modern statistical methods. …”
The Stata Journal, Vol. 7, No. 2, 2007

Praise for previous editions:
“…a useful compendium of examples of Stata analyses and data management tricks…covers the gamut of major statistical applications, from the most basic to some quite sophisticated…extremely useful, well-written, and worth the price.”
The American Statistician

“The book is very well written and is both an excellent introduction to Stata and a useful reference book on applied statistics. I would certainly recommend it to anybody interested in this package.”
Significance, December 2004

“… the handbook starts with a brief, but very useful, introduction to Stata including getting help with Stata, data management, writing simple programs, and how to keep Stata up to date. Particularly useful will be the introduction to the new graphics facilities which have changed out of all recognition from that available in previous versions. … The main strengths of this well-written and useful handbook lie in the broad range of statistical methods it covers and in the clear step-by-step examples.”
Statistics in Medicine