1 citations · 2 across the 9 of their papers we have counts for
7 papers · 1 filter
Dynamic Treatment Regimes using Bayesian Additive Regression Trees for Censored Outcomes
Xiao Li, Brent R Logan, S M Ferdous Hossain +1
To achieve the goal of providing the best possible care to each patient, physicians need to customize treatments for patients with the same diagnosis, especially when treating dise…
Estimating Individualized Treatment Rules in Longitudinal Studies with Covariate-Driven Observation Times
Janie Coulombe, Erica E. M. Moodie, Susan M. Shortreed +1
The sequential treatment decisions made by physicians to treat chronic diseases are formalized in the statistical literature as dynamic treatment regimes. To date, methods for dyna…
Using Pilot Data to Size Observational Studies for the Estimation of Dynamic Treatment Regimes
Eric J. Rose, Erica E. M. Moodie, Susan Shortreed
There has been significant attention given to developing data-driven methods for tailoring patient care based on individual patient characteristics. Dynamic treatment regimes forma…
Monte Carlo Sensitivity Analysis for Unmeasured Confounding in Dynamic Treatment Regimes
Eric J. Rose, Erica E. M. Moodie, Susan Shortreed
Data-driven methods for personalizing treatment assignment have garnered much attention from clinicians and researchers. Dynamic treatment regimes formalize this through a sequence…
New designs for Bayesian adaptive cluster-randomized trials
Junwei Shen, Shirin Golchi, Erica E. M. Moodie +1
Adaptive approaches, allowing for more flexible trial design, have been proposed for individually randomized trials to save time or reduce sample size. However, adaptive designs fo…
Causal Inference for Quantile Treatment Effects
Shuo Sun, Erica E. M. Moodie, Johanna G. Nešlehová
Analyses of environmental phenomena often are concerned with understanding unlikely events such as floods, heatwaves, droughts or high concentrations of pollutants. Yet the majorit…