Schedule
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.
Course Outline:
This course was offered in conjunction with the SAMSI year-long research Program on Statistical, Mathematical, and Computational Methods for Precision Medicine (PMED).
This course will provided 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 were drawn from cancer and other chronic disease research and research in the behavioral, educational, and other sciences.
Registration:
- NCSU – MA 810.001
- UNC-CH -STOR 894.001 / MATH 892.001
- Duke – STA 790.01 / MATH 790-71-01
Supporting Media
Class Materials
Single Decision Treatment Regimes: FundamentalsMarie Davidian
Single Decision Regimes: Additional MethodsMarie Davidian
Date | Lecture Topic | Speaker | Slides |
---|---|---|---|
Jan 9 | Introduction and Preliminaries: Basic Causal Inference | Marie Davidian | |
Preliminaries: Basic Causal Inference | Marie Davidian | ||
** Homework Assignment (Chapters 1-3) ** | |||
** Data for Homework Assignment ** | |||
** Homework due date was February 6, 2019 ** | |||
Jan 16 | Preliminaries: Basic Causal Inference [cont.] | Marie Davidian | |
Jan 23 | Single Decision Treatment Regimes: Fundamentals [cont.] | Marie Davidian | |
Jan 30 | Single Decision Treatment Regimes: Fundamentals [cont.] | Marie Davidian | |
Feb 6 | Single Decision Regimes: Additional Methods [cont.] | Marie Davidian | |
** Homework Assignment (Chapters 3-5) ** | |||
** Data for Homework Assignment ** | |||
** Homework due date was March 6, 2019 ** | |||
Feb 13 | Multiple Decision Treatment Regimes: Fundamentals | Marie Davidian | |
Feb 20 | Multiple Decision Treatment Regimes: Fundamentals [cont.] | Marie Davidian | |
Feb 27 | Multiple Decision Treatment Regimes: Fundamentals [cont.] | Marie Davidian | |
Mar 6 | Optimal Multiple Decision Treatment Regimes | Marie Davidian | |
** Homework Assignment (Chapters 5-6) ** | |||
** Data for Homework Assignment ** | |||
** Homework due date was April 3, 2019 ** | |||
Mar 13 | ** NO CLASS – Spring Break ** | ||
Mar 20 | Optimal Multiple Decision Treatment Regimes [cont.] | Marie Davidian | |
Mar 27 | Regimes Based on Time-to-Event Outcomes |
Marie Davidian | |
Apr 3 | Sequential Multiple Assignment Randomized Trials (SMARTs) | Eric Laber | |
Apr 10 | Sequential Multiple Assignment Randomized Trials (SMARTs) [cont.] | Eric Laber | |
Apr 17 | Statistical Inference for Treatment Regimes | Eric Laber | |
Attachment: Generalization Error for Decision Problems | Eric Laber | ||
** Homework Assignment 4 ** | |||
** Homework due date was April 24, 2019 ** | |||
Apr 24 | Statistical Inference for Treatment Regimes [cont.] | Eric Laber |
Questions: email [email protected]