Biostatistical applications of survival analysis with emphasis on underlying theoretical and computational issues, practical interpretation and communication of results. Case studies, students will explore the various methods for handling survival data. Kaplan-Meier curve definition and its extension, survival prospects using logrank test and confidence intervals for relative risks, graphical displays and assessing underlying assumptions. Mantel-Haenszel method's connection to survival analysis. Cox proportional hazards model for handling continuous covariates. Various extensions of this model, including time-dependent covariates, multiple outcomes and censored linear regression model. -- Course Website
Instructor: Professor G. Heller
Prerequisites: MPH5040, EPM5002, EPM5003, EPM5004 and EPM5014
