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stat.ME2023
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…
stat.ME2023★ 2 cited
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…
stat.ME2023
Pretest estimation in combining probability and non-probability samples
Chenyin Gao, Shu Yang
Multiple heterogeneous data sources are becoming increasingly available for statistical analyses in the era of big data. As an important example in finite-population inference, we…