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20192025
most citedBridging preference-based instrumental variable studies and cluster-randomized encouragement experiments: study design, noncompliance, and average cluster effect ratio

3 citations · 10 across the 10 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

stat.AP2020★ 1 cited

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…

stat.AP2020★ 1 cited

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…

stat.ME2020★ 3 cited

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…

q-bio.PE2020★ 2 cited

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,…

stat.ME2020★ 1 cited

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…