Publications

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Author Title [ Type(Desc)] Year
Journal Article
Sewak, A. , Lodi, S. , Li, X. , Shu, D. , Wen, L. , Mayer, K. H. , Krakower, D. S. , et al. (2024). Causal effects of stochastic PrEP interventions on HIV incidence among men who have sex with men. American Journal of Epidemiology, 193, 6–16. Oxford University Press.
Wanis, K. Nashat, Sarvet, A. L. , Wen, L. , Block, J. P. , Rifas-Shiman, S. L. , Robins, J. M. , & Young, J. G. . (2024). Grace periods in comparative effectiveness studies of sustained treatments. Journal of the Royal Statistical Society Series A: Statistics in Society, qnae002. Oxford University Press US.
Wen, L. , Sarvet, A. L. , & Stensrud, M. J. . (2023). Causal effects of intervening variables in settings with unmeasured confounding. arXiv preprint arXiv:2305.00349.
Chiu, Y. - H. , Wen, L. , McGrath, S. , Logan, R. , Dahabreh, I. J. , & Hernán, M. A. . (2023). Evaluating model specification when using the parametric g-formula in the presence of censoring. American journal of epidemiology, 192, 1887–1895. Oxford University Press.
Sarvet, A. L. , Stensrud, M. J. , & Wen, L. . (2023). Interpretational errors in statistical causal inference. arXiv preprint arXiv:2312.07610.
Wen, L. , Marcus, J. L. , & Young, J. G. . (2023). Intervention treatment distributions that depend on the observed treatment process and model double robustness in causal survival analysis. Statistical Methods in Medical Research, 32, 509–523. SAGE Publications Sage UK: London, England.
Wen, L. , Hernán, M. A. , & Robins, J. M. . (2022). Multiply robust estimators of causal effects for survival outcomes. Scandinavian Journal of Statistics, 49, 1304–1328.
Wanis, K. Nashat, Sarvet, A. L. , Wen, L. , Block, J. P. , Rifas-Shiman, S. L. , Robins, J. M. , & Young, J. G. . (2022). The role of grace periods in comparative effectiveness studies of different medications. arXiv e-prints, arXiv–2212.
Katsoulis, M. , Lai, A. G. , Diaz-Ordaz, K. , Gomes, M. , Pasea, L. , Banerjee, A. , Denaxas, S. , et al. (2021). Identifying adults at high-risk for change in weight and BMI in England: a longitudinal, large-scale, population-based cohort study using electronic health records. The Lancet Diabetes & Endocrinology, 9, 681–694. Elsevier.
Wen, L. , Young, J. G. , Robins, J. M. , & Hernán, M. A. . (2021). Parametric g-formula implementations for causal survival analyses. Biometrics, 77, 740–753. Oxford University Press.
Wen, L. , Terrera, G. Muniz, & Seaman, S. R. . (2018). Methods for handling longitudinal outcome processes truncated by dropout and death. Biostatistics, 19, 407–425. Oxford University Press.
Wen, L. , & Seaman, S. R. . (2018). Semi-parametric methods of handling missing data in mortal cohorts under non-ignorable missingness. Biometrics, 74, 1427–1437. Oxford University Press.
Zeng, L. , Cook, R. J. , Wen, L. , & Boruvka, A. . (2015). Bias in progression-free survival analysis due to intermittent assessment of progression. Statistics in Medicine, 34, 3181–3193.
Nepomnaschy, P. A. , Salvante, K. G. , Zeng, L. , Pyles, C. , Ma, H. , Blais, J. C. , Wen, L. , et al. (2015). Variation in maternal urinary cortisol profiles across the peri-conceptional period: a longitudinal description and evaluation of potential functions. Human Reproduction, 30, 1460–1472. Oxford University Press.
Thesis
Wen, L. . (2018). Methods for handling missing data in cohort studies where outcomes are truncated by death.