Written by the developers of Stata's widely used survival analysis suite, this book provides the foundation to understand various approaches for analyzing time-to-event data. Taking a practical approach to the subject, the authors discuss how survival analysis estimators work and what information they exploit. They also present the syntax, features, and underpinnings of Stata's survival analysis routines. This edition highlights the new aspects of Stata 10, including its power and sample-size calculations for survival data. Other updates include in-graph at-risk tables for Kaplan-Meier and related curves, survival analysis for survey data, and regression models with flexible functional forms via fractional polynomials.