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Richard Wyss

Showing results (1-10 of 75) with videos related to

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Epidemiology (Cambridge, Mass.)|February 4, 2014
Commentary: Balancing automated procedures for confounding control with background knowledgeRichard Wyss, Til Stürmer
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 26, 2025
Dementia Care Research and Psychosocial FactorsJiageng Wu, Richard Wyss, Josh Lin, et al.
Drugs - Real World Outcomes|June 14, 2020
Using Real-World Data to Predict Clinical and Economic Benefits of a Future Drug Based on its Target Product ProfileChristoph Gerlinger, Thomas Evers, Jeremy Rassen, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 26, 2025
Dementia Care Research and Psychosocial FactorsJiageng Wu, Richard Wyss, Josh Lin, et al.
JAMA Network Open|January 24, 2024
Characteristics of Patients Receiving Novel Muscular Dystrophy Drugs in Trials vs Routine CareDongzhe Hong, Jerry Avorn, Richard Wyss, et al.
Epidemiology (Cambridge, Mass.)|June 30, 2018
Erratum: High-dimensional Propensity Score Adjustment in Studies of Treatment Effects Using Health Care Claims DataRichard Wyss, Bruce Fireman, Jeremy A Rassen, et al.
Circulation. Cardiovascular Quality and Outcomes|September 12, 2013
Propensity score methods for confounding control in nonexperimental researchM Alan Brookhart, Richard Wyss, J Bradley Layton, et al.
Journal of the American Medical Informatics Association : JAMIA|December 3, 2025
Scalable confounding adjustment in real-world evidence: benchmarking data-adaptive and investigator-specified strategies in a large-scale trial emulation studyAndrew R Weckstein, Shirley V Wang, Richard Wyss, et al.
Journal of Causal Inference|October 15, 2014
Reducing Bias Amplification in the Presence of Unmeasured Confounding Through Out-of-Sample Estimation Strategies for the Disease Risk ScoreRichard Wyss, Mark Lunt, M Alan Brookhart, et al.
Clinical Epidemiology|December 31, 2025
The Impact of Low EHR-Continuity on Effect Estimates: Evidence from Two EHR-Medicare Linked DatabasesYinzhu Jin, Angela Y Tong, Richard Wyss, et al.
Pageof 8

Showing results (1-10 of 75) with videos related to

Sort By:
Pageof 8
Epidemiology (Cambridge, Mass.)|February 4, 2014
Commentary: Balancing automated procedures for confounding control with background knowledgeRichard Wyss, Til Stürmer
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 26, 2025
Dementia Care Research and Psychosocial FactorsJiageng Wu, Richard Wyss, Josh Lin, et al.
Drugs - Real World Outcomes|June 14, 2020
Using Real-World Data to Predict Clinical and Economic Benefits of a Future Drug Based on its Target Product ProfileChristoph Gerlinger, Thomas Evers, Jeremy Rassen, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 26, 2025
Dementia Care Research and Psychosocial FactorsJiageng Wu, Richard Wyss, Josh Lin, et al.
JAMA Network Open|January 24, 2024
Characteristics of Patients Receiving Novel Muscular Dystrophy Drugs in Trials vs Routine CareDongzhe Hong, Jerry Avorn, Richard Wyss, et al.
Epidemiology (Cambridge, Mass.)|June 30, 2018
Erratum: High-dimensional Propensity Score Adjustment in Studies of Treatment Effects Using Health Care Claims DataRichard Wyss, Bruce Fireman, Jeremy A Rassen, et al.
Circulation. Cardiovascular Quality and Outcomes|September 12, 2013
Propensity score methods for confounding control in nonexperimental researchM Alan Brookhart, Richard Wyss, J Bradley Layton, et al.
Journal of the American Medical Informatics Association : JAMIA|December 3, 2025
Scalable confounding adjustment in real-world evidence: benchmarking data-adaptive and investigator-specified strategies in a large-scale trial emulation studyAndrew R Weckstein, Shirley V Wang, Richard Wyss, et al.
Journal of Causal Inference|October 15, 2014
Reducing Bias Amplification in the Presence of Unmeasured Confounding Through Out-of-Sample Estimation Strategies for the Disease Risk ScoreRichard Wyss, Mark Lunt, M Alan Brookhart, et al.
Clinical Epidemiology|December 31, 2025
The Impact of Low EHR-Continuity on Effect Estimates: Evidence from Two EHR-Medicare Linked DatabasesYinzhu Jin, Angela Y Tong, Richard Wyss, et al.
Pageof 8