DEPARTMENT OF STATIS TICS
COLLEGE OF ARTS & SCIENCES
330.972.6886 (TELEPHONE)
Course Description
3470:473/573
Survival Analysis
3 credits
Prerequisite: 3470:461/561 Applied Statistics or equivalent.
Course Description: Basic concepts in survival analysis, censoring and data
truncation, estimation of survival models, nonparametric hazard and survival function
estimation, comparing survival times between groups.
Course Topics:
Introduction to Survival Analysis.
Definitions and examples of survival and hazard functions and the relationship
between them.
Common parametric models for survival data.
Censoring and truncation, likelihood construction, and the development of maximum
likelihood.
Nonparametric inferences for survival and hazard functions based on single sample
data, Kaplan-Meier estimate, Nelson Aalen estimate.
Nonparametric methods for testing equality of survival/hazard curves.
Computer assisted analysis of survival data.
Continuous and discrete-time regression models with emphasis on Cox's proportional
hazards model and partial likelihood estimation.
Computer package implementation of the analysis of survival data.
Methods for determining parametric and nonparametric model adequacy, including
calculation of various kinds of residuals, determination of various plotting
techniques, embedding a selected model into a larger model for testing.
Regression diagnostics.
Fall 2014