21 citations · 22 across the 12 of their papers we have counts for
5 papers · 1 filter
Distributional Random Forests for Complex Survey Designs
Yating Zou, Marcos Matabuena, Michael R. Kosorok
We study estimation of the conditional law and continuous measurable maps of it when takes values in a locally compact Polish space (e.g., $\mathbb…
Confidence Regions for Multiple Outcomes, Effect Modifiers, and Other Multiple Comparisons
Paul N Zivich, Stephen R Cole, Noah Greifer +3
In epidemiology, some have argued that multiple comparison corrections are not necessary as there is rarely interest in the universal null hypothesis. From a parameter estimation p…
Linear Regression Using Principal Components from General Hilbert-Space-Valued Covariates
Xinyi Li, Margaret Hoch, Michael R. Kosorok
We introduce Adaptive Subspace PCA (AS-PCA), a framework for principal component analysis of random elements in a general separable Hilbert space. AS-PCA projects the covariance op…
Statistical Design and Rationale of the Biomarkers for Evaluating Spine Treatments (BEST) Trial
John Sperger, Kelley M. Kidwell, Matthew C. Mauck +16
Chronic low back pain (cLBP) is a prevalent condition with profound impacts on functioning and quality of life. While multiple evidence-based treatments exist, they all have modest…
Using Statistical Precision Medicine to Identify Optimal Treatments in a Heart Failure Setting
Arti Virkud, Jessie K. Edwards, Michele Jonsson Funk +4
Identifying optimal medical treatments to improve survival has long been a critical goal of pharmacoepidemiology. Traditionally, we use an average treatment effect measure to compa…