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Journal of Open Source Software
|
May 13, 2024
SuperNOVA: Semi-Parametric Identification and Estimation of Interaction and Effect Modification in Mixed Exposures using Stochastic Interventions in R
David McCoy, Alejandro Schuler, Alan Hubbard, et al.
BMC Infectious Diseases
|
October 29, 2017
Risk of cardiovascular events from current, recent, and cumulative exposure to abacavir among persons living with HIV who were receiving antiretroviral therapy in the United States: a cohort study
Kunchok Dorjee, Sanjiv M Baxi, Arthur L Reingold, et al.
Journal of Substance Abuse Treatment
|
June 7, 2021
Evaluating buprenorphine prescribing and opioid-related health outcomes following the expansion the buprenorphine waiver program
Christopher L Rowe, Jennifer Ahern, Alan Hubbard, et al.
Epidemiology (Cambridge, Mass.)
|
April 16, 2019
Countering the Curse of Dimensionality: Exploring Data-generating Mechanisms Through Participant Observation and Mechanistic Modeling
Alan Hubbard, James Trostle, Ivan Cangemi, et al.
Scientific Reports
|
June 4, 2021
Ensemble machine learning of factors influencing COVID-19 across US counties
David McCoy, Whitney Mgbara, Nir Horvitz, et al.
Critical Care Explorations
|
January 1, 2024
IntraCranial pressure prediction AlgoRithm using machinE learning (I-CARE): Training and Validation Study
Nicholas Fong, Jean Feng, Alan Hubbard, et al.
Journal of Causal Inference
|
February 23, 2026
Discovery of critical thresholds in mixed exposures and estimation of policy intervention effects
David B McCoy, Alan Hubbard, Mark van der Laan, et al.
Contemporary Clinical Trials
|
April 2, 2011
A comparison of two worlds: How does Bayes hold up to the status quo for the analysis of clinical trials?
Alice R Pressman, Andrew L Avins, Alan Hubbard, et al.
Tropical Medicine & International Health : TM & IH
|
February 26, 2005
A multi-group model of Schistosoma japonicum transmission dynamics and control: model calibration and control prediction
Song Liang, Robert C Spear, Edmund Seto, et al.
JAMA Network Open
|
December 10, 2020
Assessment of Machine Learning to Estimate the Individual Treatment Effect of Corticosteroids in Septic Shock
Romain Pirracchio, Alan Hubbard, Charles L Sprung, et al.
Page
of 18
Search research articles
Search
Showing results (31-40 of 179) with videos related to
Sort By:
Page
of 18
Journal of Open Source Software
|
May 13, 2024
SuperNOVA: Semi-Parametric Identification and Estimation of Interaction and Effect Modification in Mixed Exposures using Stochastic Interventions in R
David McCoy, Alejandro Schuler, Alan Hubbard, et al.
BMC Infectious Diseases
|
October 29, 2017
Risk of cardiovascular events from current, recent, and cumulative exposure to abacavir among persons living with HIV who were receiving antiretroviral therapy in the United States: a cohort study
Kunchok Dorjee, Sanjiv M Baxi, Arthur L Reingold, et al.
Journal of Substance Abuse Treatment
|
June 7, 2021
Evaluating buprenorphine prescribing and opioid-related health outcomes following the expansion the buprenorphine waiver program
Christopher L Rowe, Jennifer Ahern, Alan Hubbard, et al.
Epidemiology (Cambridge, Mass.)
|
April 16, 2019
Countering the Curse of Dimensionality: Exploring Data-generating Mechanisms Through Participant Observation and Mechanistic Modeling
Alan Hubbard, James Trostle, Ivan Cangemi, et al.
Scientific Reports
|
June 4, 2021
Ensemble machine learning of factors influencing COVID-19 across US counties
David McCoy, Whitney Mgbara, Nir Horvitz, et al.
Critical Care Explorations
|
January 1, 2024
IntraCranial pressure prediction AlgoRithm using machinE learning (I-CARE): Training and Validation Study
Nicholas Fong, Jean Feng, Alan Hubbard, et al.
Journal of Causal Inference
|
February 23, 2026
Discovery of critical thresholds in mixed exposures and estimation of policy intervention effects
David B McCoy, Alan Hubbard, Mark van der Laan, et al.
Contemporary Clinical Trials
|
April 2, 2011
A comparison of two worlds: How does Bayes hold up to the status quo for the analysis of clinical trials?
Alice R Pressman, Andrew L Avins, Alan Hubbard, et al.
Tropical Medicine & International Health : TM & IH
|
February 26, 2005
A multi-group model of Schistosoma japonicum transmission dynamics and control: model calibration and control prediction
Song Liang, Robert C Spear, Edmund Seto, et al.
JAMA Network Open
|
December 10, 2020
Assessment of Machine Learning to Estimate the Individual Treatment Effect of Corticosteroids in Septic Shock
Romain Pirracchio, Alan Hubbard, Charles L Sprung, et al.
Page
of 18