This course aims to introduce model selection methods for survival time and recurrent event data analysis. Topics include parametric models for lifetime and recurrent event data, regression models, parametric, semiparametric and nonparametric inference, goodness-of-fit and model selection. With applications to statistics, actuarial science, biostatistics, and engineering.