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Susan Gruber, Ph.D. - Publications

Affiliations: 
2011 Biostatistics University of California, Berkeley, Berkeley, CA, United States 
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29 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Dang LE, Gruber S, Lee H, Dahabreh IJ, Stuart EA, Williamson BD, Wyss R, Díaz I, Ghosh D, Kıcıman E, Alemayehu D, Hoffman KL, Vossen CY, Huml RA, Ravn H, et al. A causal roadmap for generating high-quality real-world evidence. Journal of Clinical and Translational Science. 7: e212. PMID 37900353 DOI: 10.1017/cts.2023.635  0.608
2023 Williamson BD, Wyss R, Stuart EA, Dang LE, Mertens AN, Neugebauer RS, Wilson A, Gruber S. 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. PMID 37900347 DOI: 10.1017/cts.2023.632  0.542
2023 Gruber S, Phillips RV, Lee H, Concato J, van der Laan M. Evaluating and improving real-world evidence with Targeted Learning. Bmc Medical Research Methodology. 23: 178. PMID 37533017 DOI: 10.1186/s12874-023-01998-2  0.499
2023 Phillips RV, van der Laan MJ, Lee H, Gruber S. Practical considerations for specifying a super learner. International Journal of Epidemiology. PMID 36905602 DOI: 10.1093/ije/dyad023  0.485
2022 Gruber S, Phillips RV, Lee H, van der Laan MJ. 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. PMID 35512316 DOI: 10.1093/aje/kwac087  0.59
2020 Fireman B, Gruber S, Zhang Z, Wellman R, Nelson JC, Franklin J, Maro J, Rogers C, Toh S, Gagne J, Schneeweiss S, Amsden L, Wyss R. Consequences of depletion of susceptibles for hazard ratio estimators based on propensity scores. Epidemiology (Cambridge, Mass.). PMID 32841986 DOI: 10.1097/Ede.0000000000001246  0.448
2019 Gruber S, van der Laan MJ. Comment on “Automated Versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition” Statistical Science. 34: 82-85. DOI: 10.1214/18-Sts689  0.39
2018 Yoshida K, Gruber S, Fireman BH, Toh S. Comparison of privacy-protecting analytic and data-sharing methods: A simulation study. Pharmacoepidemiology and Drug Safety. PMID 30022561 DOI: 10.1002/Pds.4615  0.308
2018 Wang SV, Jin Y, Fireman B, Gruber S, He M, Wyss R, Shin H, Ma Y, Keeton S, Karami S, Major JM, Schneeweiss S, Gagne JJ. Relative Performance of Propensity Score Matching Strategies for Subgroup Analyses. American Journal of Epidemiology. PMID 29554199 DOI: 10.1093/Aje/Kwy049  0.319
2017 Ju C, Gruber S, Lendle SD, Chambaz A, Franklin JM, Wyss R, Schneeweiss S, van der Laan MJ. Scalable collaborative targeted learning for high-dimensional data. Statistical Methods in Medical Research. 962280217729845. PMID 28936917 DOI: 10.1177/0962280217729845  0.648
2017 Rhee C, Dantes R, Epstein L, Murphy DJ, Seymour CW, Iwashyna TJ, Kadri SS, Angus DC, Danner RL, Fiore AE, Jernigan JA, Martin GS, Septimus E, Warren DK, Karcz A, ... ... Gruber S, et al. Incidence and Trends of Sepsis in US Hospitals Using Clinical vs Claims Data, 2009-2014. Jama. PMID 28903154 DOI: 10.1001/Jama.2017.13836  0.366
2016 Gruber S, Chakravarty A, Heckbert SR, Levenson M, Martin D, Nelson JC, Psaty BM, Pinheiro S, Reich CG, Toh S, Walker AM. Design and analysis choices for safety surveillance evaluations need to be tuned to the specifics of the hypothesized drug-outcome association. Pharmacoepidemiology and Drug Safety. PMID 27418432 DOI: 10.1002/Pds.4065  0.308
2016 van der Laan M, Gruber S. One-Step Targeted Minimum Loss-based Estimation Based on Universal Least Favorable One-Dimensional Submodels. The International Journal of Biostatistics. 12: 351-78. PMID 27227728 DOI: 10.1515/Ijb-2015-0054  0.648
2015 Schnitzer ME, Lok JJ, Gruber S. Variable Selection for Confounder Control, Flexible Modeling and Collaborative Targeted Minimum Loss-Based Estimation in Causal Inference. The International Journal of Biostatistics. PMID 26226129 DOI: 10.1515/Ijb-2015-0017  0.51
2015 Gruber S, Logan RW, Jarrín I, Monge S, Hernán MA. Ensemble learning of inverse probability weights for marginal structural modeling in large observational datasets. Statistics in Medicine. 34: 106-17. PMID 25316152 DOI: 10.1002/Sim.6322  0.457
2015 Gruber S, van der Laan MJ. Consistent causal effect estimation under dual misspecification and implications for confounder selection procedures. Statistical Methods in Medical Research. 24: 1003-8. PMID 22368176 DOI: 10.1177/0962280212437451  0.638
2015 Gruber S. A Causal Perspective on OSIM2 Data Generation, with Implications for Simulation Study Design and Interpretation Journal of Causal Inference. 3: 177-187. DOI: 10.1515/jci-2014-0008  0.314
2014 Petersen M, Schwab J, Gruber S, Blaser N, Schomaker M, van der Laan M. Targeted Maximum Likelihood Estimation for Dynamic and Static Longitudinal Marginal Structural Working Models. Journal of Causal Inference. 2: 147-185. PMID 25909047 DOI: 10.1515/jci-2013-0007  0.683
2014 Kreif N, Gruber S, Radice R, Grieve R, Sekhon JS. Evaluating treatment effectiveness under model misspecification: A comparison of targeted maximum likelihood estimation with bias-corrected matching. Statistical Methods in Medical Research. PMID 24525488 DOI: 10.1177/0962280214521341  0.545
2013 Gruber S, van der Laan MJ. An application of targeted maximum likelihood estimation to the meta-analysis of safety data. Biometrics. 69: 254-62. PMID 23379761 DOI: 10.1111/J.1541-0420.2012.01829.X  0.645
2012 Gruber S, van der Laan MJ. Targeted minimum loss based estimation of a causal effect on an outcome with known conditional bounds. The International Journal of Biostatistics. 8: 21. PMID 22850077 DOI: 10.1515/1557-4679.1413  0.643
2012 Gruber S, van der Laan MJ. Targeted minimum loss based estimator that outperforms a given estimator. The International Journal of Biostatistics. 8: Article 11. PMID 22628356 DOI: 10.1515/1557-4679.1332  0.671
2012 van der Laan MJ, Gruber S. Targeted minimum loss based estimation of causal effects of multiple time point interventions. The International Journal of Biostatistics. 8. PMID 22611591 DOI: 10.1515/1557-4679.1370  0.68
2012 Petersen ML, Porter KE, Gruber S, Wang Y, van der Laan MJ. Diagnosing and responding to violations in the positivity assumption. Statistical Methods in Medical Research. 21: 31-54. PMID 21030422 DOI: 10.1177/0962280210386207  0.668
2012 Gruber S, van der Laan MJ. tmle: An R package for targeted maximum likelihood estimation Journal of Statistical Software. 51. DOI: 10.18637/Jss.V051.I13  0.532
2011 Porter KE, Gruber S, van der Laan MJ, Sekhon JS. The relative performance of targeted maximum likelihood estimators. The International Journal of Biostatistics. 7. PMID 21931570 DOI: 10.2202/1557-4679.1308  0.661
2010 Gruber S, van der Laan MJ. An application of collaborative targeted maximum likelihood estimation in causal inference and genomics. The International Journal of Biostatistics. 6: Article 18. PMID 21731530 DOI: 10.2202/1557-4679.1182  0.634
2010 Gruber S, van der Laan MJ. A targeted maximum likelihood estimator of a causal effect on a bounded continuous outcome. The International Journal of Biostatistics. 6: Article 26. PMID 21731529 DOI: 10.2202/1557-4679.1260  0.677
2010 van der Laan MJ, Gruber S. Collaborative double robust targeted maximum likelihood estimation. The International Journal of Biostatistics. 6: Article 17. PMID 20628637 DOI: 10.2202/1557-4679.1181  0.658
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