CHS 765 - Survival Analysis for Public Health

(3 units)

Covers clinical trials and survival analysis and applied methods for time-to-event data including the Kaplan-Meier estimator, (Stratified) Cox regression, Accelerated Failure Time model, recurrent event and competing risk survival analysis.

Maximum units a student may earn: 3

Prerequisite(s): CHS 703 or CHS 780.

Grading Basis: Graded
Units of Lecture: 3
Offered: Every Fall

Student Learning Outcomes
Upon completion of this course, students will be able to:
1. develop statistical methods appropriate for time-to-event data.
2. evaluate appropriate methodological and analytical approaches to address public health research questions.
3. analyze data using classic and modern approaches appropriate for various study designs using software packages such as SAS, R, STATA, SPlus, and WinBUGS.
4. interpret results from statistical analyses of epidemiologic studies.
5. apply statistical theory and methodology in public health and medical research.

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