Social scientific and biomedical researchers are frequently interested in understanding the time to the occurrence of some event—such as the death of a participant in a clinical trial or the end of a governing coalition. This workshop introduces key methodological concepts in survival analysis and contrasts fully-, semi-, and non-parametrized modeling frameworks. Examples from Stata illustrate how to prepare a dataset for survival analysis, interpret regression results, and conduct important diagnostic tests. This workshop assumes participants are comfortable with multivariate regression and familiar with the analysis of limited/categorical dependent variables. Prior experience with Stata is helpful but not required.