Research Interests
Theory and Methods: Causal inference; Health data science; Instrumental variables; Large-scale optimization-based approaches; Measurement error; Missing data; Observational studies; Randomized trials; Sensitivity analysis; Time and location heterogeneity in survey data; Unmeasured confounding.
Applications: Biomedical research; Global health; Health equity research; Health policy; Infectious disease research; Public health; Social science.
Theory and Methods: Causal inference; Health data science; Instrumental variables; Large-scale optimization-based approaches; Measurement error; Missing data; Observational studies; Randomized trials; Sensitivity analysis; Time and location heterogeneity in survey data; Unmeasured confounding.
Applications: Biomedical research; Global health; Health equity research; Health policy; Infectious disease research; Public health; Social science.
Publications and Preprints
Heng, S. and Kang, H. (2024+). Generalized Rosenbaum bounds sensitivity analysis for matched observational studies with treatment doses: sufficiency, consistency, and efficiency. Working Manuscript. (NYU Research Catalyst Prize)
Heng, S.*, Shen, Y.*, and Wang, P.* (2024+). Valid randomization tests in inexactly matched observational studies via iterative convex programming. Working Manuscript.
Heng, S.*, Zhang, J.*, and Feng, Y. (2024+). Design-based causal inference with missing outcomes: missingness mechanisms, imputation-assisted randomization tests, and covariate adjustment. Working Manuscript. (IMS New Researcher Travel Award)
Zhu, J. and Heng, S. (2024+). Bias correction for randomization-based estimation in inexactly matched observational studies. Working Manuscript.
Heng, S. and Shaw, P. A. (2024+). A model-free and finite-population-exact framework for randomized experiments subject to outcome misclassification via integer programming. Working Manuscript. [R Package] (NESS Student Research Award)
Zhang, J., Small, D. S., and Heng, S. (2024). Sensitivity analysis for matched observational studies with continuous exposures and binary outcomes. Biometrika, in press.
Heng, S.*, Zhang, B.*, Han, X., Lorch, S. A., and Small, D. S. (2023). Instrumental variables: to strengthen or not to strengthen? Journal of Royal Statistical Society: Series A (Statistics in Society), 186(4), 852-873.
Chen, K., Heng, S., Long, Q., and Zhang, B. (2023). Testing biased randomization assumptions and quantifying imperfect matching and residual confounding in matched observational studies. Journal of Computational and Graphical Statistics, 32(2), 528-538.
Zhang, B., Heng, S., Ye, T., and Small, D. S. (2023). Social distancing and COVID-19: randomization inference for a structured dose-response relationship. Annals of Applied Statistics, 17(1), 23-46.
Heng, S. (2023). The central role of the propensity score in sensitivity analysis for matched observational studies. Observational Studies, 9(1), 35-41. (Commentary on Rosenbaum and Rubin (1983)).
Zhang, B., Heng, S., Mackay, E. J., and Ye, T. (2022). Bridging preference-based instrumental variable studies and cluster-randomized encouragement experiments: study design, noncompliance, and average cluster effect ratio. Biometrics, 78(4), 1639-1650.
Lin, Y., Heng, S., Anand, S., Deshpande, S., and Small, D. S. (2022). Hemoglobin levels among male agricultural workers: analyses from the Demographic and Health Surveys to investigate a marker for chronic kidney disease of uncertain etiology. Journal of Occupational and Environmental Medicine, 64(12):p e805-e810.
Heng, S., O'Meara, W. P., Simmons, R. A., and Small, D. S. (2021). Relationship between changing malaria burden and low birth weight in sub-Saharan Africa: a difference-in-differences study via a pair-of-pairs approach. eLife, 10:e65133. (IPUMS Global Health Research Award for the Best Student Paper)
Heng, S.*, Kang, H.*, Small, D. S., and Fogarty, C. B. (2021). Increasing power for observational studies of aberrant response: an adaptive approach. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 83(3), 482-504. [R Package] (Lawrence D. Brown Best Paper Award; IMS Hannan Graduate Student Travel Award)
Heng, S. and Small, D. S. (2021). Sharpening the Rosenbaum sensitivity bounds to address concerns about interactions between observed and unobserved covariates. Statistica Sinica, 31(2021), 2331-2353. (ASA Mental Health Statistics Section Student Paper Award; ENAR Distinguished Student Paper Award)
MacKay, E. J., Zhang, B., Heng, S., Ye, T., Neuman, M. D., Augoustides, J. G., Desai, N. D., and Groeneveld, P. W. (2021). Association between transesophageal echocardiography (TEE) and clinical outcomes after coronary artery bypass graft (CABG) surgery. Journal of the American Society of Echocardiology, 34(6), 571-581.
Heng, S., Small, D. S., and Rosenbaum, P. R. (2020). Finding the strength in a weak instrument in a study of cognitive outcomes produced by Catholic high schools. Journal of the Royal Statistical Society: Series A (Statistics in Society), 183(3), 935-958.
Sondak, D., Hawley, C., Heng, S., Vinsonhaler, R., Lauga, E., and Thiffeault, J. L. (2016). Can phoretic particles swim in two dimensions? Physical Review E, 94, 062606.
(* indicates equal contribution)
Acknowledgement
My research is supported in part by National Institute of Health, NYU Research Catalyst Prize, and NYU GPH Research Support Grant.
Publications and Preprints
Heng, S. and Kang, H. (2024+). Generalized Rosenbaum bounds sensitivity analysis for matched observational studies with treatment doses: sufficiency, consistency, and efficiency. Working Manuscript. (NYU Research Catalyst Prize)
Heng, S.*, Shen, Y.*, and Wang, P.* (2024+). Valid randomization tests in inexactly matched observational studies via iterative convex programming. Working Manuscript.
Heng, S.*, Zhang, J.*, and Feng, Y. (2024+). Design-based causal inference with missing outcomes: missingness mechanisms, imputation-assisted randomization tests, and covariate adjustment. Working Manuscript. (IMS New Researcher Travel Award)
Zhu, J. and Heng, S. (2024+). Bias correction for randomization-based estimation in inexactly matched observational studies. Working Manuscript.
Heng, S. and Shaw, P. A. (2024+). A model-free and finite-population-exact framework for randomized experiments subject to outcome misclassification via integer programming. Working Manuscript. [R Package] (NESS Student Research Award)
Zhang, J., Small, D. S., and Heng, S. (2024). Sensitivity analysis for matched observational studies with continuous exposures and binary outcomes. Biometrika, in press.
Heng, S.*, Zhang, B.*, Han, X., Lorch, S. A., and Small, D. S. (2023). Instrumental variables: to strengthen or not to strengthen? Journal of Royal Statistical Society: Series A (Statistics in Society), 186(4), 852-873.
Chen, K., Heng, S., Long, Q., and Zhang, B. (2023). Testing biased randomization assumptions and quantifying imperfect matching and residual confounding in matched observational studies. Journal of Computational and Graphical Statistics, 32(2), 528-538.
Zhang, B., Heng, S., Ye, T., and Small, D. S. (2023). Social distancing and COVID-19: randomization inference for a structured dose-response relationship. Annals of Applied Statistics, 17(1), 23-46.
Heng, S. (2023). The central role of the propensity score in sensitivity analysis for matched observational studies. Observational Studies, 9(1), 35-41. (Commentary on Rosenbaum and Rubin (1983)).
Zhang, B., Heng, S., Mackay, E. J., and Ye, T. (2022). Bridging preference-based instrumental variable studies and cluster-randomized encouragement experiments: study design, noncompliance, and average cluster effect ratio. Biometrics, 78(4), 1639-1650.
Lin, Y., Heng, S., Anand, S., Deshpande, S., and Small, D. S. (2022). Hemoglobin levels among male agricultural workers: analyses from the Demographic and Health Surveys to investigate a marker for chronic kidney disease of uncertain etiology. Journal of Occupational and Environmental Medicine, 64(12):p e805-e810.
Heng, S., O'Meara, W. P., Simmons, R. A., and Small, D. S. (2021). Relationship between changing malaria burden and low birth weight in sub-Saharan Africa: a difference-in-differences study via a pair-of-pairs approach. eLife, 10:e65133. (IPUMS Global Health Research Award for the Best Student Paper)
Heng, S.*, Kang, H.*, Small, D. S., and Fogarty, C. B. (2021). Increasing power for observational studies of aberrant response: an adaptive approach. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 83(3), 482-504. [R Package] (Lawrence D. Brown Best Paper Award; IMS Hannan Graduate Student Travel Award)
Heng, S. and Small, D. S. (2021). Sharpening the Rosenbaum sensitivity bounds to address concerns about interactions between observed and unobserved covariates. Statistica Sinica, 31(2021), 2331-2353. (ASA Mental Health Statistics Section Student Paper Award; ENAR Distinguished Student Paper Award)
MacKay, E. J., Zhang, B., Heng, S., Ye, T., Neuman, M. D., Augoustides, J. G., Desai, N. D., and Groeneveld, P. W. (2021). Association between transesophageal echocardiography (TEE) and clinical outcomes after coronary artery bypass graft (CABG) surgery. Journal of the American Society of Echocardiology, 34(6), 571-581.
Heng, S., Small, D. S., and Rosenbaum, P. R. (2020). Finding the strength in a weak instrument in a study of cognitive outcomes produced by Catholic high schools. Journal of the Royal Statistical Society: Series A (Statistics in Society), 183(3), 935-958.
Sondak, D., Hawley, C., Heng, S., Vinsonhaler, R., Lauga, E., and Thiffeault, J. L. (2016). Can phoretic particles swim in two dimensions? Physical Review E, 94, 062606.
(* indicates equal contribution)
Acknowledgement
My research is supported in part by National Institute of Health, NYU Research Catalyst Prize, and NYU GPH Research Support Grant.