Workshop: Dynamic Treatment Regimes and SMART Designs

Seminar Series

Tuesday, July 17, 2018 - 10:00
Hock Plaza 11110 Classroom

Effective treatment of chronic diseases and disorders typically requires ongoing interventions where clinicians sequentially make therapeutic decisions, adapting the type, dosage and timing of treatment according to evolving patient characteristics. The framework of dynamic treatment regimes (DTRs) formalizes this sequential decision-making process prevalent in clinical practice. Constructing data-driven DTRs from either observational studies or sequentially randomized trials comprise a cutting-edge area of research in modern biostatistics. This area brings together concepts from dynamic programming, reinforcement (machine) learning, causal inference, design of clinical trials, and non-regular asymptotic theory, thus offering ample opportunities for statisticians.

The sequence of lectures will provide a comprehensive presentation of this topic, beginning with a discussion of relevant data sources for constructing DTRs and design of efficient studies to produce such data, namely, the sequential multiple-assignment randomized trial (SMART). We will then turn our attention to estimation, primarily using a method called Q-learning. Finally, we will discuss non-regular inferential challenges and present state-of-the-art inference techniques like m-out-of-n bootstrap in this context. 

Another Lecture will be offered on Wednesday, July 18, 2018

Speaker’s Bio:

Bibhas Chakraborty is an Associate Professor and Director of the Centre for Quantitative Medicine at the Duke-NUS Medical School, Singapore, and an Associate Professor of Statistics & Applied Probability at the National University of Singapore (NUS). He is also an Adjunct Associate Professor at the Department of Biostatistics and Bioinformatics at Duke University. Previously (2009-13), he was an Assistant Professor of Biostatistics at Columbia University. He completed his Ph.D. in Statistics from the University of Michigan, Ann Arbor, under the supervision of Prof. Susan A. Murphy in 2009. He is the recipient of the Calderone Research Prize for Junior Faculty from Columbia University’s Mailman School of Public Health in 2011, and also the Young Researcher Award from the International Indian Statistical Association (IISA) in 2017. His main areas of research are dynamic treatment regimes, adaptive clinical trial designs and bootstrap inference, along with a variety of applications in health and behavioral sciences. He wrote the first textbook on dynamic treatment regimes.

Speaker: Bibhas Chakraborty, PhD
Associate Professor and Director
Centre for Quantitative Medicine
Other Affiliations: Professor, Department of Statistics and Applied Probability, National University of Singapore
 Adjunct Associate Professor, Department of Biostatistics and Bioinformatics, Duke University