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Survival Analysis: Techniques for Censored and Truncated Data

Handbook / ManualOut of Print

By: John Klein and Melvin Moeschberger

502 pages, Figs, tabs

Springer-Verlag

Hardback | Dec 1997 | #101985 | ISBN: 0387948295
Out of Print Details

About this book

Applied statisticians in many fields must frequently analyze time-to-event data. While the statistical tools presented in this book are applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography, the focus here is on applications of the techniques to biology and medicine. This book makes these complex methods more accessible to applied researchers without an advanced mathematical background. The authors present the essence of these techniques, as well as classical techniques not based on counting processes, and apply them to data.


Contents

Examples of survival data; basic quantities and models; censoring and truncation; nonparametric estimation of basic quantities; estimation of basic quantities for other sampling schemes; topics in univariate estimation; tests based on comparing observed and expected hazard rates; semi-parametric proportional hazards regression with fixed covariates; refinements of the semi-parametric proportional hazards regression model; additive hazards regression models; regression diagnostics; parametric models for survival analysis; multivariate survival analysis.

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