Maya L. Petersen, Ph.D.
Affiliations: | 2007 | University of California, Berkeley, Berkeley, CA, United States |
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"Maya Petersen"Parents
Sign in to add mentor| Mark J. van der Laan | grad student | 2007 | UC Berkeley | |
| (Application of causal inference methods to improve the treatment of antiretroviral -resistant HIV infection.) | ||||
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| Nance N, Petersen ML, van der Laan M, et al. (2024) The Causal Roadmap and Simulations to Improve the Rigor and Reproducibility of Real-data Applications. Epidemiology (Cambridge, Mass.) |
| Malenica I, Coyle JR, van der Laan MJ, et al. (2024) Adaptive sequential surveillance with network and temporal dependence. Biometrics. 80 |
| Dang LE, Fong E, Tarp JM, et al. (2023) Case study of semaglutide and cardiovascular outcomes: An application of the C to a hybrid design for augmenting an RCT control arm with real-world data. Journal of Clinical and Translational Science. 7: e231 |
| Dang LE, Gruber S, Lee H, et al. (2023) A causal roadmap for generating high-quality real-world evidence. Journal of Clinical and Translational Science. 7: e212 |
| Benitez A, Petersen ML, van der Laan MJ, et al. (2023) Defining and estimating effects in cluster randomized trials: A methods comparison. Statistics in Medicine |
| Montoya LM, Kosorok MR, Geng EH, et al. (2022) Efficient and robust approaches for analysis of SMARTs: Illustration using the ADAPT-R trial. Biometrics |
| Wei W, Petersen M, van der Laan MJ, et al. (2022) Efficient targeted learning of heterogeneous treatment effects for multiple subgroups. Biometrics |
| Montoya LM, van der Laan MJ, Luedtke AR, et al. (2022) The optimal dynamic treatment rule superlearner: considerations, performance, and application to criminal justice interventions. The International Journal of Biostatistics |
| Montoya LM, van der Laan MJ, Skeem JL, et al. (2022) Estimators for the value of the optimal dynamic treatment rule with application to criminal justice interventions. The International Journal of Biostatistics |
| Jakubowski A, Kabami J, Balzer LB, et al. (2022) Effect of universal HIV testing and treatment on socioeconomic wellbeing in rural Kenya and Uganda: a cluster-randomised controlled trial. The Lancet. Global Health. 10: e96-e104 |