Wednesdays, 4:30-7:00pm at SAMSI, Research Triangle Park, NC, beginning Wednesday, January 9, 2019. Last Class: Wednesday, May 1, 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.
** NOTE: Planning for this course is ongoing. As more information becomes available, it will be posted here. **
- NCSU – Course Number to be determined
- UNC-CH – Course Number to be determined
- Duke – Course Number to be determined
Questions: email firstname.lastname@example.org