Includes bibliographical references (p. 293-299) and index.

"Event History Analysis with R, Second Edition" by Göran Broström offers a comprehensive introduction to survival and event history analysis, particularly within the context of social science research. This updated edition addresses the growing trend of analyzing large, complex datasets, emphasizing tabulation methods for efficient and privacy-preserving data sharing. Broström expands upon the first edition with two new chapters covering explanatory variables and regression, and register-based survival data models, while also restructuring the content for improved flow. The book thoroughly covers core concepts, including Cox regression, parametric proportional hazards models (Weibull, Exponential, Extreme Value, Gompertz), and accelerated failure time models. It also delves into proportional hazards models for occurrence/exposure data, handling tabular and register-based data. Specialized techniques like handling external communal covariates, Lexis diagram selections, and period/cohort statistics are discussed. The book introduces a "weird bootstrap" sampling method for Cox regression with smaller datasets. A key strength is its practical approach, supported by the "eha" R package containing code and data for examples, and a dedicated website. This second edition serves as an invaluable resource for researchers, practitioners, and graduate students in applied event history and survival analysis, bridging theoretical foundations with practical application in R.