25 citations · 25 across the 4 of their papers we have counts for
7 papers
Bayesian index models for heterogeneous treatment effects
Hyung Park, Danni Wu, Eva Petkova +2
The general idea of this article is to develop a Bayesian model with a flexible link function connecting an exponential family treatment response to a linear combination of covaria…
Bivariate Hierarchical Bayesian Model for Combining Summary Measures and their Uncertainties from Multiple Sources
Yujing Yao, R. Todd Ogden, Chubing Zeng +1
It is often of interest to combine available estimates of a similar quantity from multiple data sources. When the corresponding variances of each estimate are also available, a mod…
Simultaneous Confidence Corridors for Mean Functions in Functional Data Analysis of Imaging Data
Yueying Wang, Guannan Wang, Li Wang +1
Motivated by recent work involving the analysis of biomedical imaging data, we present a novel procedure for constructing simultaneous confidence corridors for the mean of imaging…
A single-index model with a surface-link for optimizing individualized dose rules
Hyung Park, Eva Petkova, Thaddeus Tarpey +1
This paper focuses on the problem of modeling and estimating interaction effects between covariates and a continuous treatment variable on an outcome, using a single-index regressi…
Functional additive models for optimizing individualized treatment rules
Hyung Park, Eva Petkova, Thaddeus Tarpey +1
A novel functional additive model is proposed which is uniquely modified and constrained to model nonlinear interactions between a treatment indicator and a potentially large numbe…
A constrained sparse additive model for treatment effect-modifier selection
Hyung Park, Eva Petkova, Thaddeus Tarpey +1
Sparse additive modeling is a class of effective methods for performing high-dimensional nonparametric regression. This paper develops a sparse additive model focused on estimation…