8 citations · 8 across the 4 of their papers we have counts for
4 papers
A Random Forest Inverse Probability Weighted Pseudo-Observation Framework for Alternating Recurrent Events
Abigail Loe, Susan Murray, Zhenke Wu
Alternating recurrent events, where subjects experience two potentially correlated event types over time, are common in healthcare, social, and behavioral studies. Often there is a…
A Unified Framework for Inference with General Missingness Patterns and Machine Learning Imputation
Xingran Chen, Tyler McCormick, Bhramar Mukherjee +1
Predictions from machine learning (ML) models are increasingly used to impute missing data, but their naive use risks biased inference. Existing methods provide valid inference wit…
Generating Synthetic Electronic Health Record Data: a Methodological Scoping Review with Benchmarking on Phenotype Data and Open-Source Software
Xingran Chen, Zhenke Wu, Xu Shi +2
We conduct a scoping review of existing approaches for synthetic EHR data generation, and benchmark major methods with proposed open-source software to offer recommendations for pr…
Geometry-driven Bayesian Inference for Ultrametric Covariance Matrices
Tsung-Hung Yao, Zhenke Wu, Karthik Bharath +1
Ultrametric matrices are a class of covariance matrices that arise in latent tree models. As a parameter space in a statistical model, the set of ultrametric matrices is neither co…