Prerequisites: Introductory level course in statistics.
Description: The primary objective of this course is to provide participants with the background required to understand commonly used survival analysis methods, and to apply such methods using standard statistical software. The course material relies heavily on examples and intuitive explanations of concepts. The mathematical level is completely accessible with knowledge of high school algebra, one semester of calculus, and a one-year course in basic statistical methods. Examples will be chosen from various epidemiologic and medical applications. The topics will include: an introduction to survival analysis; right censoring and left truncation; life tables, non-parametric estimators (e.g., Kaplan-Meier, Nelson-Aalen); two- and k-sample tests (e.g., log rank, Wilcoxon); parametric methods for analyzing survival data (e.g., exponential model); semi parametric methods (e.g., Cox proportional hazards model). The statistical techniques will be illustrated using various medical and epidemiological studies. Students will carry out some applied (pencil-and-paper) problems to illustrate the main ideas of survival analysis and to solidify the concepts. There will also be a number of data analysis exercises that will utilize statistical software. Prerequisite: Introductory level course in statistics (including an introduction to regression methods).