Statistical Modeling provides an introduction to regression, survival analysis, and time series analysis for students who have completed calculus-based courses in probability and mathematical statistics. The book uses the R language to fit statistical models, conduct Monte Carlo simulation experiments, and generate graphics. Over 300 exercises at the end of the chapters make this an appropriate text for a class in statistical modeling. This book is an open educational resource.