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Dec 21, 2024
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MATH 535 - Applied Biostatistics (3) Analyze survival data using parametric, nonparametric, semi-parametric methods, censoring and truncation, survival/hazard functions, parametric models, life-tables, Kaplan-Meier and Nelson-Aalen estimators, log-rank test, Cox proportional hazards models, partial likelihood, time-dependent covariates, additive hazards models, diagnostics and competing risks.
Prerequisites: MATH 335 , MATH 338 ; or graduate standing.
Graduate-level
One or more sections may be offered in any online format.
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