An introduction to survival analysis using Stata

Resource Information

The work An introduction to survival analysis using Stata represents a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool. This resource is a combination of several types including: Work, Language Material, Books.

Label

An introduction to survival analysis using Stata

Statement of responsibility

Mario Cleves ... [et al.]

Contributor

• Cleves, Mario Alberto, 1954-
• Cleves, Mario Alberto, 1954-

Subject

• Models, Econometric
• Stata
• Statistics -- Econometric models
• Survival Analysis
• Survival analysis (Biometry)

Language

eng

Summary

"An Introduction to Survival Analysis Using Stata, Third Edition provides new researchers with the foundation for understanding the various approaches for analyzing time-to-event data. This book serves as not only as a tutorial for learning survival analysis but also as a valuable reference for experienced researchers interested in using Stata to analyze survival data." "The book is written for professional researchers form all disciplines, including biostatistics, epidemiology, public health, medicine, sociology, economics, political science, engineering, and other fields where survival analysis is applicable. Although the book assumes knowledge of statistical principles, basic probability, and working knowledge of Stata, it is practical rather than mathematical in its approach to the subject. The reader of this book will come away not just with understanding of the formulas, but also with intuition of how the various survival analysis estimators work and what information they exploit. The reader will also come away with deeper and more comprehensive knowledge of the syntax, features, and underpinnings of Stata's survival analysis routines." "The third edition has been updated to highlight the new features of Stata 11, in particular, competing-risks analysis and the treatment of missing values via multiple imputation. Among the other additions are new diagnostic measures after Cox regression, Stata's new treatment of categorical variables and interactions, and a new syntax for obtaining predictions and diagnostics after Cox regression." --From cover

Cataloging source

BTCTA

Illustrations

illustrations

Index

index present

LC call number

QA276.4

LC item number

.I58 2010

Literary form

non fiction

Nature of contents

bibliography