31 citations · 55 across the 7 of their papers we have counts for
7 papers
Multi-Study R-Learner for Estimating Heterogeneous Treatment Effects Across Studies Using Statistical Machine Learning
Cathy Shyr, Boyu Ren, Prasad Patil +1
Estimating heterogeneous treatment effects (HTEs) is crucial for precision medicine. While multiple studies can improve the generalizability of results, leveraging them for estimat…
Multiple Imputation for Non-Monotone Missing Not at Random Binary Data using the No Self-Censoring Model
Boyu Ren, Stuart R. Lipsitz, Roger D. Weiss +1
Although approaches for handling missing data from longitudinal studies are well-developed when the patterns of missingness are monotone, fewer methods are available for non-monoto…
Permutation tests for assessing potential non-linear associations between treatment use and multivariate clinical outcomes
Boyu Ren, Stuart R. Lipsitz, Garrett M. Fitzmaurice +1
In many psychometric applications, the relationship between the mean of an outcome and a quantitative covariate is too complex to be described by simple parametric functions; inste…
A Bayesian Gaussian Process for Estimating a Causal Exposure Response Curve in Environmental Epidemiology
Boyu Ren, Xiao Wu, Danielle Braun +2
Motivated by environmental policy questions, we address the challenges of estimation, change point detection, and uncertainty quantification of a causal exposure-response function…
Cross-validation Approaches for Multi-study Predictions
Boyu Ren, Prasad Patil, Francesca Dominici +2
We consider prediction in multiple studies with potential differences in the relationships between predictors and outcomes. Our objective is to integrate data from multiple studies…
Bayesian Mixed Effects Models for Zero-inflated Compositions in Microbiome Data Analysis
Boyu Ren, Sergio Bacallado, Stefano Favaro +3
Detecting associations between microbial compositions and sample characteristics is one of the most important tasks in microbiome studies. Most of the existing methods apply univar…
Bayesian Nonparametric Ordination for the Analysis of Microbial Communities
Boyu Ren, Sergio Bacallado, Stefano Favaro +2
Human microbiome studies use sequencing technologies to measure the abundance of bacterial species or Operational Taxonomic Units (OTUs) in samples of biological material. Typicall…