140.742.01
Risk Prediction and Precision Medicine
Location
East Baltimore
Term
2nd Term
Department
Biostatistics
Credit(s)
3
Academic Year
2024 - 2025
Instruction Method
In-person
Tu, Th, 10:30 - 11:50am
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Other Year
Resources
Prerequisite
Biostatistics 140.651 or equivalent, and 140.641 (Survival Analysis I ). Knowledge of probability and statistical theory is required. Non-Biostatistics students need permission from instructor.
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.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Conduct statistical analysis for evaluating prediction performance of biomarkers and diagnostic tests
- Have a better ability to read and understand papers published in statistical and medical journals on related topics
- Have better preparation to work on dissertation topics or advanced biostatistics
Methods of Assessment
This course is evaluated as follows:
- 60% Assignments
- 40% Final Presentation