Wednesdays, 4:30-7:00pm at SAMSI, Research Triangle Park, NC, beginning Wednesday, January 9, 2019. Last Class: Wednesday, April 24, 2019.
Instructors: This course will be jointly taught by multiple instructors; lead instructor is Marie Davidian, PJ Stuart Hunter Distinguished Professor of Statistics, N.C. State University. Additional Instructor is: Eric Laber, Associate Professor of Statistics, N.C. State University.
This course is being offered in conjunction with the SAMSI year-long research Program on Statistical, Mathematical, and Computational Methods for Precision Medicine (PMED).
This course will provide a comprehensive introduction to methodology for data-based development and evaluation of dynamic treatment regimes. A dynamic treatment regime is a set of sequential decision rules, each corresponding to a key point in a disease or disorder process at which a decision on the next treatment action must be made. Each rule takes patient information to that point as input and returns the treatment s/he should receive from among the available options, thus tailoring treatment decisions to a patient’s individual characteristics. Methods will be motivated and developed through a formal time-dependent causal inference framework. Examples will be drawn from cancer and other chronic disease research and research in the behavioral, educational, and other sciences.
- NCSU – MA 810.001
- UNC-CH -STOR 894.001 / MATH 892.001
- Duke – STA 790.01 / MATH 790-71-01
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