4 papers
Data Integration for Estimating Subgroup-Specific Conditional Average Treatment Effects (CATEs) Using Coarsened External Information in Randomized Trials
Youqi Yang, Walter Dempsey, Bhramar Mukherjee
Randomized controlled trials (RCTs) are often underpowered to detect treatment heterogeneity in subgroups defined by cross-classifications of multiple covariates, due to sparse sam…
Inference with Randomized Regression Trees
Soham Bakshi, Yiling Huang, Snigdha Panigrahi +1
Regression trees are a popular machine learning algorithm that fit piecewise constant models by recursively partitioning the predictor space. This paper focuses on statistical infe…
Selective Inference for Time-Varying Moderated Effects
Soham Bakshi, Walter Dempsey, Snigdha Panigrahi
Causal effect moderation investigates how the effect of interventions (or treatments) on outcome variables changes based on observed characteristics of individuals, known as potent…
Selective Inference for Sparse Graphs via Neighborhood Selection
Yiling Huang, Snigdha Panigrahi, Walter Dempsey
Neighborhood selection is a widely used method used for estimating the support set of sparse precision matrices, which helps determine the conditional dependence structure in undir…