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Apr 25, 2024
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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 and apply statistical methods appropriate for time-to-event data.
2. judge and design statistical models to investigate mediation, confounding, interaction, and effect modification in the context of epidemiologic research.
3. evaluate, justify, and apply appropriate methodological and analytical approaches to address public health research questions.
4. manage and analyze data using classic and modern approaches appropriate for various study designs using software packages such as SAS, R, STATA, SPlus, and WinBUGS.
5. interpret results from statistical analyses of epidemiologic studies.
6. justify and apply statistical theory and methodology in public health and medical research.
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