Survival Analysis in Medicine and Genetics

Jialiang Li, Shuangge Ma

June 4, 2013 by Chapman and Hall/CRC
Textbook - 381 Pages - 36 B/W Illustrations
ISBN 9781439893111 - CAT# K14175
Series: Chapman & Hall/CRC Biostatistics Series


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  • Explains how to analyze censored survival time data in medical and genetic research
  • Provides a pedagogical introduction to time-dependent diagnostic accuracy studies
  • Covers recent high-dimensional data analysis and variable selection methods
  • Introduces nonparametric regression for survival analysis and the Fine-Gray model for competing risks data
  • Includes exercises in each chapter
  • Offers lecture slides on the book’s CRC Press web page


Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional survival data. It provides thorough coverage of recent statistical developments in the medical and genetics fields.

The text mainly addresses special concerns of the survival model. After covering the fundamentals, it discusses interval censoring, nonparametric and semiparametric hazard regression, multivariate survival data analysis, the sub-distribution method for competing risks data, the cure rate model, and Bayesian inference methods. The authors then focus on time-dependent diagnostic medicine and high-dimensional genetic data analysis. Many of the methods are illustrated with clinical examples.

Emphasizing the applications of survival analysis techniques in genetics, this book presents a statistical framework for burgeoning research in this area and offers a set of established approaches for statistical analysis. It reveals a new way of looking at how predictors are associated with censored survival time and extracts novel statistical genetic methods for censored survival time outcome from the vast amount of research results in genomics.