3 citations · 10 across the 10 of their papers we have counts for
10 papers
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…
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…
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…
Relationship between changing malaria burden and low birth weight in sub-Saharan Africa: a difference-in-differences study via a pair-of-pairs approach
Siyu Heng, Wendy P. O'Meara, Ryan A. Simmons +1
Although interventional studies demonstrate that preventing malaria during pregnancy can reduce the low birth weight (i.e., child's birth weight 2,500 grams) rate, it remains u…
Social Distancing and COVID-19: Randomization Inference for a Structured Dose-Response Relationship
Bo Zhang, Siyu Heng, Ting Ye +1
Social distancing is widely acknowledged as an effective public health policy combating the novel coronavirus. But extreme social distancing has costs and it is not clear how much…
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…
Protocol for an Observational Study on the Effects of Social Distancing on Influenza-Like Illness and COVID-19
Bo Zhang, Ting Ye, Siyu Heng +2
The novel coronavirus disease (COVID-19) is a highly contagious respiratory disease that was first detected in Wuhan, China in December 2019, and has since spread around the globe,…
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…
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…
Increasing Power for Observational Studies of Aberrant Response: An Adaptive Approach
Siyu Heng, Hyunseung Kang, Dylan S. Small +1
In many observational studies, the interest is in the effect of treatment on bad, aberrant outcomes rather than the average outcome. For such settings, the traditional approach is…