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Alejandro Schuler

Showing results (11-20 of 33) with videos related to

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The International Journal of Biostatistics|March 10, 2025
Prognostic adjustment with efficient estimators to unbiasedly leverage historical data in randomized trialsLauren D Liao, Emilie Højbjerre-Frandsen, Alan E Hubbard, et al.
Journal of Causal Inference|February 23, 2026
Semiparametric discovery and estimation of interaction in mixed exposures using stochastic interventionsDavid B McCoy, Alan Hubbard, Mark van der Laan, et al.
Health Services Research|October 30, 2020
Predicting preventable hospital readmissions with causal machine learningBen J Marafino, Alejandro Schuler, Vincent X Liu, et al.
American Journal of Obstetrics and Gynecology|October 25, 2020
Prediction of obstetrical and fetal complications using automated electronic health record dataGabriel J Escobar, Lauren Soltesz, Alejandro Schuler, et al.
Health Services Research|February 22, 2021
Correction to "Predicting preventable hospital readmissions with causal machine learning"Ben J Marafino, Alejandro Schuler, Vincent X Liu, et al.
The New England Journal of Medicine|November 11, 2020
Automated Identification of Adults at Risk for In-Hospital Clinical DeteriorationGabriel J Escobar, Vincent X Liu, Alejandro Schuler, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 12, 2018
Inpatient Clinical Order Patterns Machine-Learned From Teaching Versus Attending-Only Medical ServicesJason K Wang, Alejandro Schuler, Nigam H Shah, et al.
Statistics in Medicine|March 7, 2018
Some methods for heterogeneous treatment effect estimation in high dimensionsScott Powers, Junyang Qian, Kenneth Jung, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 19, 2016
DISCOVERING PATIENT PHENOTYPES USING GENERALIZED LOW RANK MODELSAlejandro Schuler, Vincent Liu, Joe Wan, et al.
Drug and Alcohol Dependence|September 9, 2022
Comparing the effectiveness of a brief intervention to reduce unhealthy alcohol use among adult primary care patients with and without depression: A machine learning approach with augmented inverse probability weightingSantiago Papini, Felicia W Chi, Alejandro Schuler, et al.
Pageof 4

Showing results (11-20 of 33) with videos related to

Sort By:
Pageof 4
The International Journal of Biostatistics|March 10, 2025
Prognostic adjustment with efficient estimators to unbiasedly leverage historical data in randomized trialsLauren D Liao, Emilie Højbjerre-Frandsen, Alan E Hubbard, et al.
Journal of Causal Inference|February 23, 2026
Semiparametric discovery and estimation of interaction in mixed exposures using stochastic interventionsDavid B McCoy, Alan Hubbard, Mark van der Laan, et al.
Health Services Research|October 30, 2020
Predicting preventable hospital readmissions with causal machine learningBen J Marafino, Alejandro Schuler, Vincent X Liu, et al.
American Journal of Obstetrics and Gynecology|October 25, 2020
Prediction of obstetrical and fetal complications using automated electronic health record dataGabriel J Escobar, Lauren Soltesz, Alejandro Schuler, et al.
Health Services Research|February 22, 2021
Correction to "Predicting preventable hospital readmissions with causal machine learning"Ben J Marafino, Alejandro Schuler, Vincent X Liu, et al.
The New England Journal of Medicine|November 11, 2020
Automated Identification of Adults at Risk for In-Hospital Clinical DeteriorationGabriel J Escobar, Vincent X Liu, Alejandro Schuler, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 12, 2018
Inpatient Clinical Order Patterns Machine-Learned From Teaching Versus Attending-Only Medical ServicesJason K Wang, Alejandro Schuler, Nigam H Shah, et al.
Statistics in Medicine|March 7, 2018
Some methods for heterogeneous treatment effect estimation in high dimensionsScott Powers, Junyang Qian, Kenneth Jung, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 19, 2016
DISCOVERING PATIENT PHENOTYPES USING GENERALIZED LOW RANK MODELSAlejandro Schuler, Vincent Liu, Joe Wan, et al.
Drug and Alcohol Dependence|September 9, 2022
Comparing the effectiveness of a brief intervention to reduce unhealthy alcohol use among adult primary care patients with and without depression: A machine learning approach with augmented inverse probability weightingSantiago Papini, Felicia W Chi, Alejandro Schuler, et al.
Pageof 4