An Introduction to Survival Analysis Using Stata, Third Edition

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9781597180740: An Introduction to Survival Analysis Using Stata, Third Edition

An Introduction to Survival Analysis Using Stata, Third Edition provides the foundation to understand various approaches for analyzing time-to-event data. It is not only a tutorial for learning survival analysis but also a valuable reference for using Stata to analyze survival data. Although the book assumes knowledge of statistical principles, simple probability, and basic Stata, it takes a practical, rather than mathematical, approach to the subject.

This updated third edition highlights new features of Stata 11, including competing-risks analysis and the treatment of missing values via multiple imputation. Other additions include new diagnostic measures after Cox regression, Stata’s new treatment of categorical variables and interactions, and a new syntax for obtaining prediction and diagnostics after Cox regression.

After reading this book, you will understand the formulas and gain intuition about how various survival analysis estimators work and what information they exploit. You will also acquire deeper, more comprehensive knowledge of the syntax, features, and underpinnings of Stata’s survival analysis routines.

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About the Author:

Mario Cleves is a professor of pediatrics at the University of Arkansas for Medical Sciences and a senior biostatistician at the Arkansas Center for Birth Defects Research and Prevention.

William Gould is the president and head of development at StataCorp.

Roberto Gutierrez is the director of statistics at StataCorp.

Yulia Marchenko is a senior statistician at StataCorp.

All are authors of Stata statistical software, in particular, Stata’s widely used survival analysis suite.

Review:

Praise for the Second Edition
Unlike some glorified manuals available in the market, this book is a genuine text for an introductory course in survival analysis using Stata. This book is also an excellent supplement for a graduate-level survival analysis course as well as a reference book for a data analyst dealing with survival data. The book presents the essential models, formulas, background, and relevant references in a compact and adequate manner, and then continues to present the relevant tools, their implementation, and explanation of outputs. ...
The American Statistician, November 2010, Vol. 64, No. 4

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