受强制性开放获取政策约束的文章 - Susan Gruber了解详情
无法在其他位置公开访问的文章：1 篇
Application of machine-learning to predict early spontaneous preterm birth among nulliparous non-Hispanic black and white women
A Weber, GL Darmstadt, S Gruber, ME Foeller, SL Carmichael, ...
Annals of epidemiology 28 (11), 783-789. e1, 2018
强制性开放获取政策： US National Institutes of Health
可在其他位置公开访问的文章：27 篇
Incidence and trends of sepsis in US hospitals using clinical vs claims data, 2009-2014
C Rhee, R Dantes, L Epstein, DJ Murphy, CW Seymour, TJ Iwashyna, ...
Jama 318 (13), 1241-1249, 2017
强制性开放获取政策： US National Institutes of Health, US Department of Veterans Affairs
Diagnosing and responding to violations in the positivity assumption
ML Petersen, KE Porter, S Gruber, Y Wang, MJ Van Der Laan
Statistical methods in medical research 21 (1), 31-54, 2012
强制性开放获取政策： US National Institutes of Health
tmle: an R package for targeted maximum likelihood estimation
S Gruber, M Van Der Laan
Journal of Statistical Software 51, 1-35, 2012
强制性开放获取政策： US National Institutes of Health
Collaborative double robust targeted maximum likelihood estimation
MJ van der Laan, S Gruber
The international journal of biostatistics 6 (1), 2010
强制性开放获取政策： US National Institutes of Health
Targeted minimum loss based estimation of causal effects of multiple time point interventions
MJ van der Laan, S Gruber
The international journal of biostatistics 8 (1), 2012
强制性开放获取政策： US National Institutes of Health
A targeted maximum likelihood estimator of a causal effect on a bounded continuous outcome
S Gruber, MJ van der Laan
The International Journal of Biostatistics 6 (1), 2010
强制性开放获取政策： US National Institutes of Health
Targeted maximum likelihood estimation for dynamic and static longitudinal marginal structural working models
M Petersen, J Schwab, S Gruber, N Blaser, M Schomaker, ...
Journal of causal inference 2 (2), 147-185, 2014
强制性开放获取政策： US National Institutes of Health, Doris Duke Charitable Foundation
The relative performance of targeted maximum likelihood estimators
KE Porter, S Gruber, MJ Van Der Laan, JS Sekhon
The international journal of biostatistics 7 (1), 0000102202155746791308, 2011
强制性开放获取政策： US National Institutes of Health
Development and validation of an automated HIV prediction algorithm to identify candidates for pre-exposure prophylaxis: a modelling study
DS Krakower, S Gruber, K Hsu, JT Menchaca, JC Maro, BA Kruskal, ...
The Lancet HIV 6 (10), e696-e704, 2019
强制性开放获取政策： US National Institutes of Health
Ensemble learning of inverse probability weights for marginal structural modeling in large observational datasets
S Gruber, RW Logan, I Jarrín, S Monge, MA Hernán
Statistics in medicine 34 (1), 106-117, 2015
强制性开放获取政策： US National Institutes of Health
One-step targeted minimum loss-based estimation based on universal least favorable one-dimensional submodels
M van der Laan, S Gruber
The international journal of biostatistics 12 (1), 351-378, 2016
强制性开放获取政策： US National Institutes of Health
Empirical performance of a new user cohort method: lessons for developing a risk identification and analysis system
PB Ryan, MJ Schuemie, S Gruber, I Zorych, D Madigan
Drug safety 36, 59-72, 2013
强制性开放获取政策： US National Institutes of Health
Variable selection for confounder control, flexible modeling and collaborative targeted minimum loss-based estimation in causal inference
ME Schnitzer, JJ Lok, S Gruber
The international journal of biostatistics 12 (1), 97-115, 2016
强制性开放获取政策： US National Institutes of Health
Targeted minimum loss based estimator that outperforms a given estimator
S Gruber, MJ van der Laan
The International Journal of Biostatistics 8 (1), 2012
强制性开放获取政策： US National Institutes of Health
Scalable collaborative targeted learning for high-dimensional data
C Ju, S Gruber, SD Lendle, A Chambaz, JM Franklin, R Wyss, ...
Statistical methods in medical research 28 (2), 532-554, 2019
强制性开放获取政策： US National Institutes of Health, Patient-Centered Outcomes Research Institute
Evaluating treatment effectiveness under model misspecification: a comparison of targeted maximum likelihood estimation with bias-corrected matching
N Kreif, S Gruber, R Radice, R Grieve, JS Sekhon
Statistical methods in medical research 25 (5), 2315-2336, 2016
强制性开放获取政策： UK Economic and Social Research Council, UK Medical Research Council
A causal roadmap for generating high-quality real-world evidence
LE Dang, S Gruber, H Lee, IJ Dahabreh, EA Stuart, BD Williamson, ...
Journal of Clinical and Translational Science 7 (1), e212, 2023
强制性开放获取政策： US National Institutes of Health
Readings in targeted maximum likelihood estimation
MJ van der Laan, S Rose, S Gruber
bepress, 2009
强制性开放获取政策： US National Institutes of Health
Using electronic health records to identify candidates for human immunodeficiency virus pre‐exposure prophylaxis: An application of super learning to risk prediction when the …
S Gruber, D Krakower, JT Menchaca, K Hsu, R Hawrusik, JC Maro, ...
Statistics in medicine 39 (23), 3059-3073, 2020
强制性开放获取政策： US National Institutes of Health
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