90 citations · 220 across the 7 of their papers we have counts for
7 papers
Guidance on Individualized Treatment Rule Estimation in High Dimensions
Philippe Boileau, Ning Leng, Sandrine Dudoit
Individualized treatment rules, cornerstones of precision medicine, inform patient treatment decisions with the goal of optimizing patient outcomes. These rules are generally unkno…
A nonparametric framework for treatment effect modifier discovery in high dimensions
Philippe Boileau, Ning Leng, Nima S. Hejazi +2
Heterogeneous treatment effects are driven by treatment effect modifiers, pre-treatment covariates that modify the effect of a treatment on an outcome. Current approaches for uncov…
A Flexible Approach for Predictive Biomarker Discovery
Philippe Boileau, Nina Ting Qi, Mark J. van der Laan +2
An endeavor central to precision medicine is predictive biomarker discovery; they define patient subpopulations which stand to benefit most, or least, from a given treatment. The i…
Cross-Validated Loss-Based Covariance Matrix Estimator Selection in High Dimensions
Philippe Boileau, Nima S. Hejazi, Mark J. van der Laan +1
The covariance matrix plays a fundamental role in many modern exploratory and inferential statistical procedures, including dimensionality reduction, hypothesis testing, and regres…
More power via graph-structured tests for differential expression of gene networks
Laurent Jacob, Pierre Neuvial, Sandrine Dudoit
We consider multivariate two-sample tests of means, where the location shift between the two populations is expected to be related to a known graph structure. An important applicat…
Gains in Power from Structured Two-Sample Tests of Means on Graphs
Laurent Jacob, Pierre Neuvial, Sandrine Dudoit
We consider multivariate two-sample tests of means, where the location shift between the two populations is expected to be related to a known graph structure. An important applicat…