PMED Spring 2019: Introduction to Dynamic Treatment Regimes

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

Course Syllabus

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]