Publications

Search
Author Title Type Year(Asc)
2025
Chiu, Y. ‐H., & Wen, L.. (2025). Identification and Estimation of the Average Causal Effects Under Dietary Substitution Strategies. Statistics in Medicine, 44(5), e70007. John Wiley & Sons, Inc. Hoboken, USA.
2024
Wen, L., Sarvet, A. L., & Stensrud, M. J.. (2024). Causal effects of intervening variables in settings with unmeasured confounding. Journal of Machine Learning Research, 25(345), 1-54.
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(1), 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, 187(3), 796-810. Oxford University Press UK.
Steingrimsson, J. A., Wen, L., Voter, S., & Dahabreh, I. J.. (2024). Interpretable meta-analysis of model or marker performance. arXiv preprint arXiv:2409.13458.
2023
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(11), 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(3), 509-523. SAGE Publications Sage UK: London, England.
2022
Wen, L., Hernán, M. A., & Robins, J. M.. (2022). Multiply robust estimators of causal effects for survival outcomes. Scandinavian Journal of Statistics, 49(3), 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: 2212.11398.
2021
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(10), 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(2), 740-753. Oxford University Press.
2018
Wen, L., Terrera, G. Muniz, & Seaman, S. R.. (2018). Methods for handling longitudinal outcome processes truncated by dropout and death. Biostatistics, 19(4), 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(4), 1427-1437. Oxford University Press.
2015
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(24), 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(6), 1460-1472. Oxford University Press.