5.0

Average Course Rating

Explores advanced methods useful for the design and analysis of cohort studies. Emphasizes methods for analyzing time-to-event data subject to staggered entries using advanced parametric and semi-parametric methods; analytical methods for incomplete observations in cohort studies; methods to measure effects of exposures on time-to-event using relative times and relative hazards; parametric survival analysis methods and taxonomy of hazard functions; regression methods for trajectories of biomarkers; methods for dealing with continuous biomarkers subject to limits of detection; methods for the analysis of interventions in observational studies: confounding by indication, marginal structural models for individual effectiveness; methods for dealing with competing risks and non-proportional hazards; methods to assess agreement and inform design of cohort studies; prediction of lifecourse and clinical outcomes from cohort studies.