2 citations · 2 across the 3 of their papers we have counts for
3 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…