Introduction to Survival Analysis, Event History Modeling, and Duration Analysis

This workshop provides an introduction to the increasingly popular methodology of survival/event history/duration analysis in the medical, social, behavioral, economics, business, marketing, and educational sciences.  The fundamental concepts of censoring, survival function and hazard function are initially discussed, and a nonparametric procedure is outlined of survival function estimation and its comparison across groups via the Kaplan-Meier product limit estimator.  The widely used Cox’ proportional hazards model is then focused on.  Methods for examining possible violations of its assumptions are also indicated, as are extensions of the model when they are violated.  Throughout the workshop, illustrative empirical data examples are utilized and the popular statistical package STATA is employed on them. 

Instructor: Dr. Tenko Raykov, Ph.D., is a professor in Counseling, Educational Psychology & Special Education in the Measurement and Quantitative Methods program.

Date: Friday, January 13, 2012

Time: 1:00 PM - 4:00 PM

Location: 106 Farrall Ag. Eng. Hall

Audience: Faculty and graduate students wanting to learn about the methodology of survival/event history/duration analysis

Registration closed. Maximum capacity has been reached.