![]() This process is experimental and the keywords may be updated as the learning algorithm improves. failure and survival data analysis: a) Analysis of survival times such as characterizing the distribution of time to event for a given population, comparing this time to event among different groups (e.g., treatment vs. Moeschberger Springer Science & Business Media, Medical - 502 pages 0 Reviews Reviews. These keywords were added by machine and not by the authors. Survival Analysis: Techniques for Censored and Truncated Data John P. ![]() In each of these situations, it is quite probable that there is some association within groups of survival times in the sample. A third example is where we are studying the times to occurrence of different nonlethal diseases within the same individual. For example, we may be making inferences about survival in a sample of siblings or litter mates who share a common genetic makeup, or we may be studying survival in a sample of married couples who share a common, unmeasured, environment. Although this assumption may be valid in many experimental settings, it may be suspect in others. With few exceptions, these techniques are based on the assumption that the survival times of distinct individuals are independent of each other. ![]() In the previous chapters of this book, we have examined a variety of techniques for analyzing survival data. ![]()
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