Di Shu, PhD

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Assistant Professor of Biostatistics and Epidemiology at the Hospital of the University of Pennsylvania
Department: Biostatistics and Epidemiology

Contact information
Division of Biostatistics
Room 624 Blockley Hall
423 Guardian Drive
Philadelphia, PA 19104-6021
Office: 215-573-4887
B.Sc. (Mathematics and Applied Mathematics)
South China University of Technology, 2013.
M.Sc. (Statistics)
University of Western Ontario, 2014.
Ph.D. (Statistics)
University of Waterloo, 2018.
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Description of Research Expertise

I am a statistician with expertise in causal inference, measurement error and misclassification problems, and privacy-protecting methods. I have a keen interest in developing and applying suitable statistical methods to assess comparative safety and effectiveness of medical products, using real-world data which may have complex structures. I am also passionate about software development. My colleagues and I have written an online calculator for ROC study sample size planning with precision and assurance and three R packages for inverse probability weighted estimation (i.e., ppmHR, ipwCoxCSV and ipwErrorY), all made publicly available. My content area collaborations focus on pediatrics and pharmacoepidemiology.

Selected Publications

Shu D, Webster-Clark M, Platt RW, Toh S: Meta-analysis with sample-standardization in multi-site studies. Pharmacoepidemiology and Drug Safety Aug 2022 Notes: doi:10.1002/pds.5527.

Wallis KE, Nekrasova E, Bennett AE, Fiks AG, Gerdes M, Jenssen BP, Miller JS, Shu D, Guthrie W: Autism spectrum disorder screening during the COVID-19 pandemic in a large primary care network. Academic Pediatrics Apr 2022 Notes: doi:10.1016/j.acap.2022.04.005.

Shu D, Han P, Wang R, Toh S: Estimating the marginal hazard ratio by simultaneously using a set of propensity score models: a multiply robust approach. Statistics in Medicine 40(5): 1224-1242, Feb 2021 Notes: doi: 10.1002/sim.8837.

Shu D, Young JG, Toh S, Wang R: Variance estimation in inverse probability weighted Cox models. Biometrics 77(3): 1101-1117, Sep 2021 Notes: doi: 10.1111/biom.13332.

Shu D, He W: Perturbation-based null hypothesis tests with an application to Clayton models. The Canadian Journal of Statistics 49(4): 1136-1151, Dec 2021 Notes: doi: 10.1002/cjs.11612.

Shu D, Yoshida K, Fireman B, Toh S: Inverse probability weighted Cox model in multi-site studies without sharing individual-level data. Statistical Methods in Medical Research 29(6): 1668-1681, Jun 2020 Notes: doi: 10.1177/0962280219869742.

Shu D, Young JG, Toh S: Privacy-protecting estimation of adjusted risk ratios using modified Poisson regression in multi-center studies. BMC Medical Research Methodology 19(228), Dec 2019 Notes: doi: 10.1186/s12874-019-0878-6.

Shu D, Yi GY: Causal inference with measurement error in outcomes: bias analysis and estimation methods. Statistical Methods in Medical Research 28(7): 2049-2068, Jul 2019 Notes: doi: 10.1177/0962280217743777.

Shu D, Yi GY: Weighted causal inference methods with mismeasured covariates and misclassified outcomes. Statistics in Medicine 38(10): 1835-1854, May 2019 Notes: doi: 10.1002/sim.8073.

Shu D, Yi GY: ipwErrorY: an R package for estimation of average treatment effect with misclassified binary outcome. The R Journal 11(1): 337-351, Jun 2019 Notes: doi: 10.32614/RJ-2019-029.

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Last updated: 08/21/2022
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