Survival Analysis in Medicine and Genetics

Survival Analysis in Medicine and Genetics
By:"Jialiang Li","Shuangge Ma"
Published on 2013-06-04 by CRC Press

This ebook tells about 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.

This Book was ranked 32 by Google Books for keyword Survival Analysis.

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Survival Analysis in Medicine and Genetics
145 4.2 Multivariate Survival Data ....................................... 147 4.2.1 ... 148 4.2.2 \u003cbr\u003e\nRegression Analysis of Cluster Data .................... 151 4.2.3 ... 195 The first three \u003cbr\u003e\nchapters cover some common statistical methods for \u003cb\u003esurvival analysis\u003c/b\u003e. Chapter 3 \u003cbr\u003e\nis ...

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