most citedEstimating Individualized Treatment Rules in Longitudinal Studies with Covariate-Driven Observation Times

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME20221 cited

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…

stat.ME2022

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…

stat.ME20221 cited

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…

stat.AP2022

Privacy-preserving estimation of an optimal individualized treatment rule : A case study in maximizing time to severe depression-related outcomes

Erica EM Moodie, Janie Coulombe, Coraline Danieli +2

Estimating individualized treatment rules - particularly in the context of right-censored outcomes - is challenging because the treatment effect heterogeneity of interest is often…

cs.LG2012

Unsupervised spectral learning

Susan Shortreed, Marina Meila

In spectral clustering and spectral image segmentation, the data is partioned starting from a given matrix of pairwise similarities S. the matrix S is constructed by hand, or learn…