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Rebecca A Hubbard

Showing results (1-10 of 248) with videos related to

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Statistics in Medicine|December 10, 2019
Correction to "A Bayesian latent class approach for EHR-based phenotyping"Rebecca A Hubbard
Evidence-Based Medicine|September 10, 2015
US counties with higher rates of breast cancer screening have higher rates of incidence with no concomitant decrease in breast cancer mortality suggesting overdiagnosisRebecca A Hubbard
Statistics in Medicine|December 28, 2020
Commentary on Professor Austin Bradford Hill's Alfred Watson Memorial LectureRebecca A Hubbard
Biometrics|February 7, 2013
A semiparametric censoring bias model for estimating the cumulative risk of a false-positive screening test under dependent censoringRebecca A Hubbard, Diana L Miglioretti
Pharmacoepidemiology and Drug Safety|March 2, 2021
'Considering the totality of evidence: Combining real-world data with clinical trial results to better inform decision-makingRonac Mamtani, Jennifer Lund, Rebecca A Hubbard
Journal of Biopharmaceutical Statistics|November 10, 2021
Integrating real world data and clinical trial results using survival data reconstruction and marginal moment-balancing weightsKylie Getz, Ronac Mamtani, Rebecca A Hubbard
Journal of the American Medical Informatics Association : JAMIA|April 19, 2022
Informative presence bias in analyses of electronic health records-derived data: a cautionary noteJoanna Harton, Nandita Mitra, Rebecca A Hubbard
AMIA ... Annual Symposium Proceedings. AMIA Symposium|April 21, 2020
Analysis of Spatial Trends in Smoking Status Among Patients with Obstructive Airway Diseases Highlight Potential for Targeted Smoking Cessation InterventionsSherrie Xie, Rebecca A Hubbard, Blanca E Himes
Pharmacoepidemiology and Drug Safety|April 29, 2024
Comparing survival in trial- versus routine-care advanced urothelial cancer patients on immune checkpoint blockadeLucy S Wang, Rebecca A Hubbard, Ronac Mamtani
JAMA Network Open|November 7, 2023
Algorithmic Fairness of Machine Learning Models for Alzheimer Disease ProgressionChenxi Yuan, Kristin A Linn, Rebecca A Hubbard
Pageof 25

Showing results (1-10 of 248) with videos related to

Sort By:
Pageof 25
Statistics in Medicine|December 10, 2019
Correction to "A Bayesian latent class approach for EHR-based phenotyping"Rebecca A Hubbard
Evidence-Based Medicine|September 10, 2015
US counties with higher rates of breast cancer screening have higher rates of incidence with no concomitant decrease in breast cancer mortality suggesting overdiagnosisRebecca A Hubbard
Statistics in Medicine|December 28, 2020
Commentary on Professor Austin Bradford Hill's Alfred Watson Memorial LectureRebecca A Hubbard
Biometrics|February 7, 2013
A semiparametric censoring bias model for estimating the cumulative risk of a false-positive screening test under dependent censoringRebecca A Hubbard, Diana L Miglioretti
Pharmacoepidemiology and Drug Safety|March 2, 2021
'Considering the totality of evidence: Combining real-world data with clinical trial results to better inform decision-makingRonac Mamtani, Jennifer Lund, Rebecca A Hubbard
Journal of Biopharmaceutical Statistics|November 10, 2021
Integrating real world data and clinical trial results using survival data reconstruction and marginal moment-balancing weightsKylie Getz, Ronac Mamtani, Rebecca A Hubbard
Journal of the American Medical Informatics Association : JAMIA|April 19, 2022
Informative presence bias in analyses of electronic health records-derived data: a cautionary noteJoanna Harton, Nandita Mitra, Rebecca A Hubbard
AMIA ... Annual Symposium Proceedings. AMIA Symposium|April 21, 2020
Analysis of Spatial Trends in Smoking Status Among Patients with Obstructive Airway Diseases Highlight Potential for Targeted Smoking Cessation InterventionsSherrie Xie, Rebecca A Hubbard, Blanca E Himes
Pharmacoepidemiology and Drug Safety|April 29, 2024
Comparing survival in trial- versus routine-care advanced urothelial cancer patients on immune checkpoint blockadeLucy S Wang, Rebecca A Hubbard, Ronac Mamtani
JAMA Network Open|November 7, 2023
Algorithmic Fairness of Machine Learning Models for Alzheimer Disease ProgressionChenxi Yuan, Kristin A Linn, Rebecca A Hubbard
Pageof 25