Siyu Heng

Assistant Professor of Biostatistics

Professional overview

Siyu Heng, PhD is an Assistant Professor in the Department of Biostatistics, with an interest in both methodology research and applied research. His areas of expertise are in causal inference, health data science, observational studies, randomized trials, sensitivity analysis, instrumental variables, measurement error, and in survey data and their applications in public health.

Dr. Heng’s research has been published in the Journal of the Royal Statistical Society and in Physical Review, among others. He has been recognized with several awards, including the IPUMS Global Health Research Award for the Best Student Paper; the Lawrence D. Brown Best Paper Award; the ASA Mental Health Statistics Section Student Paper Award; the ENAR Distinguished Student Paper Award; the NESS Student Research Award, and the Wellcome Trust Data Reuse Prize.

Dr. Heng received his PhD in applied mathematics and computational science from the University of Pennsylvania, and his BA in statistics from Nanjing University.

Education

PhD Candidate, Applied Mathematics and Computational Science (Statistics Track) University of Pennsylvania

BS, Mathematics, Nanjing University

Honors and awards

IPUMS Global Health Research Award for the Best Student Paper, Integrated Public Use Microdata Series (2021)

IMS Hannan Graduate Student Travel Award, Institute of Mathematical Statistics (2021)

ASA Mental Health Statistics Section Student Paper Award, American Statistical Association Section on Mental Health Statistics (2021)

ENAR Distinguished Student Paper Award, International Biometric Society Eastern North American Region (2021)

Wellcome Trust Data Reuse Prize: Malaria, Wellcome Trust (2019)

Benjamin Franklin Fellowship, University of Pennsylvania School of Arts and Sciences (201620172018)

Areas of research and study

Causal Inference

Epidemiology

Global Health

Health Equity

Instrumental Variables

Observational Studies

Public Health Policy

Randomized Experimentation

Social Sciences

Publications

Publications

Bias mitigation in matched observational studies with continuous treatments: calipered non-bipartite matching and bias-corrected estimation and inference

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Peri-Rolandic and Occipital Sparing Cortical Edema: A Prevalent MRI Finding in Pediatric Patients with Cerebral Malaria

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Propensity Score Propagation: A General Framework for Design-Based Inference with Unknown Propensity Scores

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Selecting optimized behavioral interventions from an optimization randomized controlled trial on increasing COVID-19 testing for African American/Black and Latino frontline essential workers not up-to-date on COVID-19 vaccination

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A Non-Bipartite Matching Framework for Difference-in-Differences with General Treatment Types

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A Universal Framework for Factorial Matched Observational Studies with General Treatment Types: Design, Analysis, and Applications

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Adaptive Dwell Scheduling Based on Q-Learning for Multifunctional Radar System

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Bridging the gap between design and analysis: randomization inference and sensitivity analysis for matched observational studies with treatment doses

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Comparing the Treatment and Side Effects of Existing Bariatric Surgery Procedures: An Observational Study

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Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment

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

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Effects of behavioral intervention components to increase COVID-19 testing for African American/Black and Latine frontline essential workers not up-to-date on COVID-19 vaccination: Results of an optimization randomized controlled trial

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Neutralizing and binding antibodies are a correlate of risk of COVID-19 in the CoVPN 3008 study in people with HIV

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Parent-daughter agreement about HPV vaccination status in Kenya and Malawi

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Sensitivity analysis for binary outcome misclassification in randomization tests via integer programming

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A comprehensive graph pooling benchmark: Effectiveness, robustness and generalizability

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Adaptive Dwell Scheduling Based on Dual-Side Time Pointers for Simultaneous Multi-Beam Radar

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Bias reduction in matched observational studies with continuous treatments: Calipered non-bipartite matching and bias-corrected estimation and inference

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Delta: Dual consistency delving with topological uncertainty for active graph domain adaptation

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Generalized Rosenbaum bounds sensitivity analysis for matched observational studies with treatment doses: sufficiency, consistency, and efficiency

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Maximizing the reach of universal child sexual abuse prevention: Protocol for an equivalence trial

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Maximizing the reach of universal child sexual abuse prevention: Protocol for an equivalence trial

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Re-evaluating the impact of reduced malaria prevalence on birthweight in sub-Saharan Africa: A pair-of-pairs study via two-stage bipartite and non-bipartite matching

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Real-time dwell scheduling based on a unified pulse interleaving framework for phased array radar

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Sensitivity analysis for matched observational studies with continuous exposures and binary outcomes

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