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Sherri Rose

Showing results (11-20 of 102) with videos related to

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Observational Studies|September 6, 2021
Considerations Across Three Cultures: Parametric Regressions, Interpretable Algorithms, and Complex AlgorithmsAni Eloyan, Sherri Rose
BMJ Health & Care Informatics|September 18, 2021
Identifying undercompensated groups defined by multiple attributes in risk adjustmentAnna Zink, Sherri Rose
Proceedings of Machine Learning Research|June 17, 2026
Perspective: Machine Learning for Health Should Consider Social Drivers of HealthNeha Srivathsa, Sherri Rose
JAMA Health Forum|March 7, 2024
Denial-Artificial Intelligence Tools and Health Insurance Coverage DecisionsMichelle M Mello, Sherri Rose
JAMIA Open|August 5, 2021
A generalizable data assembly algorithm for infectious disease outbreaksMaimuna S Majumder, Sherri Rose
The American Statistician|July 3, 2019
Limitations of P-Values and R-squared for Stepwise Regression Building: A Fairness Demonstration in Health Policy Risk AdjustmentSherri Rose, Thomas G McGuire
American Journal of Epidemiology|December 13, 2016
Targeted Maximum Likelihood Estimation for Causal Inference in Observational StudiesMegan S Schuler, Sherri Rose
Biometrics|July 14, 2018
Double robust estimation for multiple unordered treatments and clustered observations: Evaluating drug-eluting coronary artery stentsSherri Rose, Sharon-Lise Normand
American Journal of Epidemiology|February 4, 2014
A double robust approach to causal effects in case-control studiesSherri Rose, Mark van der Laan
American Journal of Epidemiology|February 4, 2014
Rose and van der Laan respond to "Some advantages of the relative excess risk due to interaction"Sherri Rose, Mark van der Laan
Pageof 11

Showing results (11-20 of 102) with videos related to

Sort By:
Pageof 11
Observational Studies|September 6, 2021
Considerations Across Three Cultures: Parametric Regressions, Interpretable Algorithms, and Complex AlgorithmsAni Eloyan, Sherri Rose
BMJ Health & Care Informatics|September 18, 2021
Identifying undercompensated groups defined by multiple attributes in risk adjustmentAnna Zink, Sherri Rose
Proceedings of Machine Learning Research|June 17, 2026
Perspective: Machine Learning for Health Should Consider Social Drivers of HealthNeha Srivathsa, Sherri Rose
JAMA Health Forum|March 7, 2024
Denial-Artificial Intelligence Tools and Health Insurance Coverage DecisionsMichelle M Mello, Sherri Rose
JAMIA Open|August 5, 2021
A generalizable data assembly algorithm for infectious disease outbreaksMaimuna S Majumder, Sherri Rose
The American Statistician|July 3, 2019
Limitations of P-Values and R-squared for Stepwise Regression Building: A Fairness Demonstration in Health Policy Risk AdjustmentSherri Rose, Thomas G McGuire
American Journal of Epidemiology|December 13, 2016
Targeted Maximum Likelihood Estimation for Causal Inference in Observational StudiesMegan S Schuler, Sherri Rose
Biometrics|July 14, 2018
Double robust estimation for multiple unordered treatments and clustered observations: Evaluating drug-eluting coronary artery stentsSherri Rose, Sharon-Lise Normand
American Journal of Epidemiology|February 4, 2014
A double robust approach to causal effects in case-control studiesSherri Rose, Mark van der Laan
American Journal of Epidemiology|February 4, 2014
Rose and van der Laan respond to "Some advantages of the relative excess risk due to interaction"Sherri Rose, Mark van der Laan
Pageof 11