Risk Prediction and Precision Medicine

3 Credits.

Gives an overview of study designs and methodologies for building and evaluation of risk prediction models. Reviews fundamental concepts of epidemiologic cohort and case-control studies and related modeling approaches through Cox proportional hazard models and logistic regressions. Introduces concepts of absolute risk modeling within the Cox proportional hazard framework and incorporation of different sources data from research studies and population registries. Includes methodologies for building polygenic risk scores from recent genome-wide association studies (GWAS) and enhancing transportability of the scores to diverse populations. Focuses on model validation and evaluation for clinical utility and illustrates the concepts through a number of real-world examples.