A Guide for the Perplexed
In this book, we’ve examined many different approaches to the analysis of survival data: Kaplan-Meier estimation, log-rank tests, accelerated failure time models, piecewise exponential models, Cox regression models, logit models, and complementary log-log models. Each of these methods is worth using in some situations. Along the way I have tried to point out their relative advantages and disadvantages, but those discussions are scattered throughout the book. It’s not easy to keep all the points in mind when designing a study or planning an analysis.
Many readers of early versions of this book urged me to provide a concluding roadmap for choosing a method ...