4th Edition

Handbook of Statistical Analyses Using Stata

    354 Pages 71 B/W Illustrations
    by Chapman & Hall

    354 Pages
    by Chapman & Hall

    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.

    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

    Biography

    Brian S. Everitt

    “…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