Publications

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[ Author(Desc)] Title Type Year
C
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.
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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.
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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.
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Sarvet, A. L. , Stensrud, M. J. , & Wen, L. . (2023). Interpretational errors in statistical causal inference. arXiv preprint arXiv:2312.07610.
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.
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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.
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.
Wen, L. , Sarvet, A. L. , & Stensrud, M. J. . (2023). Causal effects of intervening variables in settings with unmeasured confounding. arXiv preprint arXiv:2305.00349.
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.
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. . (2018). Methods for handling missing data in cohort studies where outcomes are truncated by death.
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.
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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.