Susan Gruber, Ph.D.
Affiliations: | 2011 | Biostatistics | University of California, Berkeley, Berkeley, CA, United States |
Google:
"Susan Gruber"Parents
Sign in to add mentorMark J. van der Laan | grad student | 2011 | UC Berkeley | |
(Collaborative Targeted Maximum Likelihood Estimation.) |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Wyss R, van der Laan M, Gruber S, et al. (2024) Targeted Learning with an Undersmoothed Lasso Propensity Score Model for Large-Scale Covariate Adjustment in Healthcare Database Studies. American Journal of Epidemiology |
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 |
Williamson BD, Wyss R, Stuart EA, et al. (2023) An application of the Causal Roadmap in two safety monitoring case studies: Causal inference and outcome prediction using electronic health record data. Journal of Clinical and Translational Science. 7: e208 |
Gruber S, Phillips RV, Lee H, et al. (2023) Evaluating and improving real-world evidence with Targeted Learning. Bmc Medical Research Methodology. 23: 178 |
Phillips RV, van der Laan MJ, Lee H, et al. (2023) Practical considerations for specifying a super learner. International Journal of Epidemiology |
Gruber S, Phillips RV, Lee H, et al. (2022) Data-Adaptive Selection of the Propensity Score Truncation Level for Inverse Probability Weighted and Targeted Maximum Likelihood Estimators of Marginal Point Treatment Effects. American Journal of Epidemiology |
Fireman B, Gruber S, Zhang Z, et al. (2020) Consequences of depletion of susceptibles for hazard ratio estimators based on propensity scores. Epidemiology (Cambridge, Mass.) |
Gruber S, van der Laan MJ. (2019) Comment on “Automated Versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition” Statistical Science. 34: 82-85 |
Yoshida K, Gruber S, Fireman BH, et al. (2018) Comparison of privacy-protecting analytic and data-sharing methods: A simulation study. Pharmacoepidemiology and Drug Safety |
Wang SV, Jin Y, Fireman B, et al. (2018) Relative Performance of Propensity Score Matching Strategies for Subgroup Analyses. American Journal of Epidemiology |