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International Journal of Epidemiology
|
March 11, 2023
Practical considerations for specifying a super learner
Rachael V Phillips, Mark J van der Laan, Hana Lee, et al.
American Journal of Epidemiology
|
May 5, 2022
Data-Adaptive Selection of the Propensity Score Truncation Level for Inverse-Probability-Weighted and Targeted Maximum Likelihood Estimators of Marginal Point Treatment Effects
Susan Gruber, Rachael V Phillips, Hana Lee, et al.
Statistics in Medicine
|
October 16, 2014
Ensemble learning of inverse probability weights for marginal structural modeling in large observational datasets
Susan Gruber, Roger W Logan, Inmaculada Jarrín, et al.
The International Journal of Biostatistics
|
September 21, 2011
The relative performance of targeted maximum likelihood estimators
Kristin E Porter, Susan Gruber, Mark J van der Laan, et al.
BMC Medical Research Methodology
|
August 2, 2023
Evaluating and improving real-world evidence with Targeted Learning
Susan Gruber, Rachael V Phillips, Hana Lee, et al.
Journal of Causal Inference
|
April 25, 2015
Targeted Maximum Likelihood Estimation for Dynamic and Static Longitudinal Marginal Structural Working Models
Maya Petersen, Joshua Schwab, Susan Gruber, et al.
Statistical Methods in Medical Research
|
October 30, 2010
Diagnosing and responding to violations in the positivity assumption
Maya L Petersen, Kristin E Porter, Susan Gruber, et al.
The International Journal of Biostatistics
|
June 17, 2026
Targeted maximum likelihood estimation (TMLE) in regulatory submissions and research: a landscape analysis
Hana Lee, Menglun Wang, Spencer Haupert, et al.
International Breastfeeding Journal
|
July 13, 2023
Associations of in-hospital postpartum feeding experiences with exclusive breastfeeding practices among infants in rural Sichuan, China
Ann M Weber, Yian Guo, Evelyn Zhang, et al.
Pharmacoepidemiology and Drug Safety
|
August 19, 2021
Letter to the Editor re Beachler, et al, 2021
Susan Gruber, David S Carrell, James S Floyd, et al.
Page
of 6
Search research articles
Search
Showing results (21-30 of 57) with videos related to
Sort By:
Page
of 6
International Journal of Epidemiology
|
March 11, 2023
Practical considerations for specifying a super learner
Rachael V Phillips, Mark J van der Laan, Hana Lee, et al.
American Journal of Epidemiology
|
May 5, 2022
Data-Adaptive Selection of the Propensity Score Truncation Level for Inverse-Probability-Weighted and Targeted Maximum Likelihood Estimators of Marginal Point Treatment Effects
Susan Gruber, Rachael V Phillips, Hana Lee, et al.
Statistics in Medicine
|
October 16, 2014
Ensemble learning of inverse probability weights for marginal structural modeling in large observational datasets
Susan Gruber, Roger W Logan, Inmaculada Jarrín, et al.
The International Journal of Biostatistics
|
September 21, 2011
The relative performance of targeted maximum likelihood estimators
Kristin E Porter, Susan Gruber, Mark J van der Laan, et al.
BMC Medical Research Methodology
|
August 2, 2023
Evaluating and improving real-world evidence with Targeted Learning
Susan Gruber, Rachael V Phillips, Hana Lee, et al.
Journal of Causal Inference
|
April 25, 2015
Targeted Maximum Likelihood Estimation for Dynamic and Static Longitudinal Marginal Structural Working Models
Maya Petersen, Joshua Schwab, Susan Gruber, et al.
Statistical Methods in Medical Research
|
October 30, 2010
Diagnosing and responding to violations in the positivity assumption
Maya L Petersen, Kristin E Porter, Susan Gruber, et al.
The International Journal of Biostatistics
|
June 17, 2026
Targeted maximum likelihood estimation (TMLE) in regulatory submissions and research: a landscape analysis
Hana Lee, Menglun Wang, Spencer Haupert, et al.
International Breastfeeding Journal
|
July 13, 2023
Associations of in-hospital postpartum feeding experiences with exclusive breastfeeding practices among infants in rural Sichuan, China
Ann M Weber, Yian Guo, Evelyn Zhang, et al.
Pharmacoepidemiology and Drug Safety
|
August 19, 2021
Letter to the Editor re Beachler, et al, 2021
Susan Gruber, David S Carrell, James S Floyd, et al.
Page
of 6