activity
20192025
most citedProtocol for an Observational Study on the Effects of Social Distancing on Influenza-Like Illness and COVID-19

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

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Showing stat.MEShow all

7 papers · 1 filter

stat.ME2025

Determining vaccine responders in the presence of baseline immunity using single-cell assays and paired control samples

Zhe Chen, Siyu Heng, Asa Tapley +2

A key objective in vaccine studies is to evaluate vaccine-induced immunogenicity and determine whether participants have mounted a response to the vaccine. Cellular immune response…

stat.ME2022

Sensitivity Analysis for Binary Outcome Misclassification in Randomization Tests via Integer Programming

Siyu Heng, Pamela A. Shaw

Conducting a randomization test is a common method for testing causal null hypotheses in randomized experiments. The popularity of randomization tests is largely because their stat…

stat.ME2021

Testing Biased Randomization Assumptions and Quantifying Imperfect Matching and Residual Confounding in Matched Observational Studies

Kan Chen, Siyu Heng, Qi Long +1

One central goal of design of observational studies is to embed non-experimental data into an approximate randomized controlled trial using statistical matching. Despite empirical…

stat.ME2020

Bridging preference-based instrumental variable studies and cluster-randomized encouragement experiments: study design, noncompliance, and average cluster effect ratio

Bo Zhang, Siyu Heng, Emily J. MacKay +1

Instrumental variable methods are widely used in medical and social science research to draw causal conclusions when the treatment and outcome are confounded by unmeasured confound…

stat.ME2020

Sharpening the Rosenbaum Sensitivity Bounds to Address Concerns About Interactions Between Observed and Unobserved Covariates

Siyu Heng, Dylan S. Small

In observational studies, it is typically unrealistic to assume that treatments are randomly assigned, even conditional on adjusting for all observed covariates. Therefore, a sensi…

stat.ME2019

Re-Evaluating Strengthened-IV Designs: Asymptotic Efficiency, Bias Formula, and the Validity and Power of Sensitivity Analyses

Siyu Heng, Bo Zhang, Xu Han +2

Instrumental variables (IVs) are extensively used to estimate treatment effects when the treatment and outcome are confounded by unmeasured confounders; however, weak IVs are often…