140.742.01
Risk Prediction and Precision Medicine
Location
East Baltimore
Term
2nd Term
Department
Biostatistics
Credit(s)
3
Academic Year
2018 - 2019
Instruction Method
TBD
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.
Covers various topics for evaluating the performance of biomarkers to predict risk of clinical or disease outcome, specifically including: a. relative, absolute and competing risks for binary and time-to-disease outcomes; b. ROC/AUC biomarker inference with binary outcome; c. ROC/AUC biomarker inference with time-to-event outcome, with censoring and truncation; d. statistical methods and inference for case-control study designs; e. a few topics on precision medicine.
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