Department of Public Health Sciences
BMTRY722
BMTRY 722 : Analysis of Survival Data
DESCRIPTION
This is an introductory course in theory and application of analytic methods for time-to-event data. The methods covered include nonparametric, parametric, and semi-parametric (Cox model) approaches. The topics covered will also include types of censoring and truncation, sample size and power estimation, and a brief introduction to counting process method. Extensive use of R is incorporated and SAS will also be reviewed.
TOPICS:
- Introduction to survival analysis/censoring
- Basic statistics and functions
- Parametric models/likelihood construction
- Kaplan-Meier and Nelson-Aalen estimators
- Confidence intervals and bands on S(t)
- Estimation of mean and median survival times
- Cohort life table
- Hypothesis testing
- Sample size and power estimation
- Proportional hazards regression
- Regression diagnostics
- Parametric regression methods
- Multivariate Survival Data
- Accelerated failure time models
- Frailty models
- Competing risks
PREREQUISITES AND OFFERINGS
BMTRY 700, 701, 706, and working knowledge of SAS. Typically offered every other summer semester.

