7 papers
Causal Inference on Sequential Treatments via Tensor Completion
Chenyin Gao, Han Chen, Anru R. Zhang +1
Marginal Structural Models (MSMs) are popular for causal inference of sequential treatments in longitudinal observational studies, which however are sensitive to model misspecifica…
Doubly protected estimation for survival outcomes utilizing external controls for randomized clinical trials
Chenyin Gao, Shu Yang, Mingyang Shan +3
Censored survival data are common in clinical trials, but small control groups can pose challenges, particularly in rare diseases or where balanced randomization is impractical. Re…
Doubly robust omnibus sensitivity analysis of externally controlled trials with intercurrent events
Chenyin Gao, Xiang Zhang, Shu Yang
Externally controlled trials are crucial in clinical development when randomized controlled trials are unethical or impractical. These trials consist of a full treatment arm with t…
Improving randomized controlled trial analysis via data-adaptive borrowing
Chenyin Gao, Shu Yang, Mingyang Shan +3
In recent years, real-world external controls have grown in popularity as a tool to empower randomized placebo-controlled trials, particularly in rare diseases or cases where balan…
Enhancing convolutional neural network generalizability via low-rank weight approximation
Chenyin Gao, Shu Yang, Anru R. Zhang
Noise is ubiquitous during image acquisition. Sufficient denoising is often an important first step for image processing. In recent decades, deep neural networks (DNNs) have been w…
Estimating spatially varying health effects of wildland fire smoke using mobile health data
Lili Wu, Chenyin Gao, Shu Yang +2
Wildland fire smoke exposures are an increasing threat to public health, and thus there is a growing need for studying the effects of protective behaviors on reducing health outcom…