Stata - the powerful statistical software package - has streamlined data analysis, interpretation, and presentation for researchers and statisticians around the world. Because of its power and extensive features, however, the Stata manuals are quite detailed and extensive.The Second Edition of A Handbook of Statistical Analyses using Stata describes the features of the latest version of Stata - Version 6 - in a concise, convenient format. It gives new users a head start on using the program and offers experienced users a quick reference. The authors illustrate how Stata can be used to apply a variety of statistical techniques, including regression, survival analysis, and principal components. They outline Stata's value in:omodeling complex data from longitudinal studies or surveysoanalyzing results from clinical trials or epidemiological studiesousing its powerful programming language to apply tailor-made analyses relatively simplyEach chapter deals with a particular data set, identifies the appropriate analysis for it, and includes a brief account of the statistical background of the technique applied. However, the primary focus is on using Stata 6 and interpreting results. As such, this text complements the Stata manuals, offering both an ideal introduction to the program and a handy reference - perfect as a supplementary text for a second course in statistics. A Handbook Of Statistical Analyses Using Stata Describes The Features Of The Latest Version Of Stata - Version 6 - In A Concise, Convenient Format. It Gives New Users A Head Start On Using The Program And Offers Experienced Users A Quick Reference. The Authors Illustrate How Stata Can Be Used To Apply A Variety Of Statistical Techniques, Including Regression, Survival Analysis, And Principal Components. This Text Complements The Stata Manuals, Offering Both An Ideal Introduction To The Program And A Handy Reference - Perfect For Researchers, Statisticians, And Students.--jacket. Running Stata -- Datasets In Stata -- Stata Commands -- Data Management -- Estimation -- Graphics -- Stata As A Calculator -- Brief Introduction To Programming -- Keeping Stata Up To Date -- Data Description And Simple Inference: Female Psychiatric Patients -- Description Of Data -- Group Comparison And Correlations -- Analysis Using Stata -- Multiple Regression: Determinants Of Pollution In U.s. Cities -- Description Of Data -- The Multiple Regression Model -- Analysis Using Stata -- Analysis Of Variance I: Treating Hypertension -- Description Of Data -- Analysis Of Variance Model -- Analysis Using Stata -- Analysis Of Variance Ii: Effectiveness Of Slimming Clinics -- Description Of Data -- Analysis Of Variance Model -- Analysis Using Stata -- Logistic Regression: Treatment Of Lung Cancer And Diagnosis Of Heart Attacks -- Description Of Data -- The Logistic Regression Model -- Analysis Using Stata -- Generalized Linear Models: Australian School Children -- Description Of Data -- Generalized Linear Models -- Analysis Using Stata -- Analysis Of Longitudinal Data I: The Treatment Of Postnatal Depression -- Description Of Data -- The Analysis Of Longitudinal Data -- Analysis Using Stata -- Analysis Of Longitudinal Data Ii: Epileptic Seizures And Chemotherapy -- Possible Models -- Analysis Using Stata -- Some Epidemiology -- Description Of Data -- Introduction To Epidemiology -- Analysis Using Stata -- Survival Analysis: Retention Of Heroin Addicts In Methadone Maintenance Treatment -- Description Of Data. Sophia Rabe-hesketh, Brian Everitt. Rev. Ed. Of: Handbook Of Statistical Analysis Using Stata. C1999. Includes Bibliographical References (p. [201]-203) And Index.
