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DESCRIPTION:Augustine Wigle\, PhD\n\nNSERC Postdoctoral Fellow | McGill Uni
 versity \n\nWHEN: Wednesday\, January 14\, 2026\, from 3:30 to 4:30 p.m.\n
 	WHERE: Hybrid | 2001 McGill College Avenue\, Rm 1140\; Zoom\n	NOTE: Augusti
 ne Wigle will be presenting in-person at SPGH \n\nAbstract\n\nAn optimal I
 ndividualized Treatment Rule (ITR) is a function that takes a patient's ch
 aracteristics\, such as demographics\, biomarkers\, and treatment history\
 , and outputs a treatment that is expected to give the best outcome for th
 at patient. When estimating ITRs from individual studies\, power to detect
  important treatment-covariate interactions is often low. Additionally\, a
 ll treatments of interest may not be compared head-to-head in a single stu
 dy. Network Meta-Analysis (NMA) is a method of synthesizing data from mult
 iple studies to estimate the relative effects of a set of treatments. Two-
 stage ITR NMA is an emerging technique for the estimation of ITRs that can
  improve power and simultaneously consider all relevant treatment options 
 while protecting sensitive data. In the first stage\, study-specific ITRs 
 are estimated\, and in the second stage\, the study-specific ITRs are pool
 ed using an NMA model. In this talk\, we propose a doubly-robust and fully
  Bayesian approach to estimating study-level ITRs. We also show how missin
 g-at-random outcomes can be accounted for in this approach. We then propos
 e a Bayesian NMA model for pooling the study-level ITRs that leverages the
  full covariance matrix of the estimates. Finally\, we use the methods to 
 estimate an optimal ITR for major depressive disorder using data from thre
 e adaptive trials.\n\nSpeaker Bio\n\nAugustine Wigle currently holds an NS
 ERC Postdoctoral Fellowship at McGill University supervised by Prof. Erica
  Moodie in the Department of Epidemiology\, Biostatistics and Occupational
  Health. She is interested in Bayesian methods\, network meta-analysis\, a
 nd precision medicine. For more information\, please visit: https://sites.
 google.com/view/augustinewigle \n
DTSTART:20260114T203000Z
DTEND:20260114T213000Z
SUMMARY:Doubly-Robust Bayesian Estimation of Individualized Treatment Rules
  Using Network Meta-Analysis
URL:https://www.mcgill.ca/epi-biostat-occh/channels/event/doubly-robust-bay
 esian-estimation-individualized-treatment-rules-using-network-meta-analysi
 s-369990
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