Intervention treatment distributions that depend on the observed treatment process and model double robustness in causal survival analysis.
Wen L, Marcus JL, Young JG.
Stat Methods Med Res. 2023 03. 32(3):509-523. PMID: 36597699
I am a research fellow at the Harvard Epidemiology department. Prior to my postdoctoral training, I graduated from Cambridge University with a degree in Biostatistics. My primary areas of research to date has been on the development and application of statistical methods in causal inference and the analysis of observational studies where complications can arise due to model misspecification, time-varying confounding and censoring. I have a strong interest in modern causal inference methods (e.g. doubly and multiply robust estimators) that allow machine learning algorithms to be used to weaken parametric modelling assumptions.
Wen L, Marcus JL, Young JG.
Stat Methods Med Res. 2023 03. 32(3):509-523. PMID: 36597699
Wen L, Hernán MA, Robins JM.
Scand Stat Theory Appl. 2022 Sep. 49(3):1304-1328. PMID: 36033967
Wen L, Young JG, Robins JM, Hernán MA.
Biometrics. 2021 06. 77(2):740-753. PMID: 32588909
Wen L, Terrera GM, Seaman SR.
Biostatistics. 2018 10 01. 19(4):594. PMID: 29462283
Wen L, Terrera GM, Seaman SR.
Biostatistics. 2018 10 01. 19(4):407-425. PMID: 29028922
Wen L, Seaman SR.
Biometrics. 2018 12. 74(4):1427-1437. PMID: 29772074
Zeng L, Cook RJ, Wen L, Boruvka A.
Stat Med. 2015 Oct 30. 34(24):3181-93. PMID: 26011411
Nepomnaschy PA, Salvante KG, Zeng L, Pyles C, Ma H, Blais JC, Wen L, Barha CK.
Hum Reprod. 2015 Jun. 30(6):1460-72. PMID: 25904636