With an emphasis on social science applications, this book presents an introduction to survival and event history analysis. It focuses on practical applications in the fields of demography, epidemiology, and econometrics. The text includes a wide range of real examples, with data available online and supported by a dedicated R package for performing all of the analyses. Keeping mathematical details to a minimum, the author covers key topics, including both discrete and continuous time data, parametric proportional hazards, and accelerated failure times. He also describes how to use methods that are not available in other software for survival analysis.