3 citations · 3 across the 2 of their papers we have counts for
5 papers · 1 filter
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…
Real Effect or Bias? Best Practices for Evaluating the Robustness of Real-World Evidence through Quantitative Sensitivity Analysis for Unmeasured Confounding
Douglas Faries, Chenyin Gao, Xiang Zhang +7
The assumption of no unmeasured confounders is a critical but unverifiable assumption required for causal inference yet quantitative sensitivity analyses to assess robustness of re…
Bayesian Record Linkage with Variables in One File
Gauri Kamat, Mingyang Shan, Roee Gutman
In many healthcare and social science applications, information about units is dispersed across multiple data files. Linking records across files is necessary to estimate the assoc…
Sensitivity Analysis for Unmeasured Confounding in Medical Product Development and Evaluation Using Real World Evidence
Yixin Fang, Pallavi Mishra-Kalyani, Xiang Zhang +8
The American Statistical Association Biopharmaceutical Section (ASA BIOP) scientific working group on real-world evidence (RWE) has been making continuous, extended efforts towards…
A Bayesian Multi-Layered Record Linkage Procedure to Analyze Functional Status of Medicare Patients with Traumatic Brain Injury
Mingyang Shan, Kali Thomas, Roee Gutman
Understanding the association between injury severity and patients' potential for recovery is crucial to providing better care for patients with traumatic brain injury (TBI). Estim…