The analysis of data relating to the length of time between events in the progress of a disease - for example, between disease onset and cure, recurrence or death - plays an important part in clinical trials and epidemiological research.
Using nontechnical jargon this extremely accessible reference is a practical guide to survival analysis techniques in diverse environments. Introduces basic statistical concepts and methods to construct survival curves and later develops them to encompass more specialized and complex models. Contains a copious amount of various authentic examples to facilitate understanding.
Table of Contents
Introduction and Review of Statistical
The Exponential and Weibull Distributions.
Comparison of Two Survival Curves.
More than Two Groups.
Cox's Proportional Hazards Models.
Selecting Variables Within a Cox Model.
Sample Sizes for Survival Studies.
Statistical and Mathematical Symbols.