The book "Survival and Event History Analysis" provides a comprehensive introduction to the analysis of survival and event data using stochastic processes. It aims to bridge the gap between traditional textbook models and more complex models where the dynamic structure of the data is fully realized. The authors, Odd O. Aalen, Ornulf Borgan, and Hakon Gjessing, explain how various stochastic concepts, such as counting processes and martingales, can effectively work with censored data. The presentation begins with fundamental analyses like Kaplan-Meier plots and Cox regression and progresses to more advanced topics such as the additive hazard model and recurrent event data. Through an intuitive introduction to stochastic processes, the material is made accessible to readers, with numerous practical examples from medicine for illustration. The book is aimed at researchers who wish to apply event history methods and gain a deeper understanding of statistical concepts. It is also suitable as a textbook for graduate students in statistics and biostatistics.