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Epidemiology (Cambridge, Mass.)
|
March 7, 2020
Robust Metrics and Sensitivity Analyses for Meta-analyses of Heterogeneous Effects
Maya B Mathur, Tyler J VanderWeele
Journal of Clinical Epidemiology
|
May 26, 2020
Controversy and debate on credibility ceilings. Paper 1: Fundamental problems with the "credibility ceiling" method for meta-analyses
Maya B Mathur, Tyler J VanderWeele
Annals of Internal Medicine
|
March 17, 2020
Evidence Relating Health Care Provider Burnout and Quality of Care
Maya B Mathur, Tyler J VanderWeele
Behavior Research Methods
|
June 15, 2019
Open-source software for mouse-tracking in Qualtrics to measure category competition
Maya B Mathur, David B Reichling
Epidemiology (Cambridge, Mass.)
|
November 6, 2019
A Simple, Interpretable Conversion from Pearson's Correlation to Cohen's for d Continuous Exposures
Maya B Mathur, Tyler J VanderWeele
Journal of the Royal Statistical Society. Series C, Applied Statistics
|
November 2, 2020
Sensitivity analysis for publication bias in meta-analyses
Maya B Mathur, Tyler J VanderWeele
Epidemiology (Cambridge, Mass.)
|
October 11, 2022
The Authors Respond
Maya B Mathur, Tyler J VanderWeele
Annual Review of Public Health
|
September 18, 2021
Methods to Address Confounding and Other Biases in Meta-Analyses: Review and Recommendations
Maya B Mathur, Tyler J VanderWeele
American Journal of Epidemiology
|
January 10, 2023
Toward Open and Reproducible Epidemiology
Maya B Mathur, Matthew P Fox
Psychological Methods
|
October 4, 2019
Challenges and suggestions for defining replication "success" when effects may be heterogeneous: Comment on Hedges and Schauer (2019)
Maya B Mathur, Tyler J VanderWeele
Page
of 33
Search research articles
Search
Showing results (41-50 of 329) with videos related to
Sort By:
Page
of 33
Epidemiology (Cambridge, Mass.)
|
March 7, 2020
Robust Metrics and Sensitivity Analyses for Meta-analyses of Heterogeneous Effects
Maya B Mathur, Tyler J VanderWeele
Journal of Clinical Epidemiology
|
May 26, 2020
Controversy and debate on credibility ceilings. Paper 1: Fundamental problems with the "credibility ceiling" method for meta-analyses
Maya B Mathur, Tyler J VanderWeele
Annals of Internal Medicine
|
March 17, 2020
Evidence Relating Health Care Provider Burnout and Quality of Care
Maya B Mathur, Tyler J VanderWeele
Behavior Research Methods
|
June 15, 2019
Open-source software for mouse-tracking in Qualtrics to measure category competition
Maya B Mathur, David B Reichling
Epidemiology (Cambridge, Mass.)
|
November 6, 2019
A Simple, Interpretable Conversion from Pearson's Correlation to Cohen's for d Continuous Exposures
Maya B Mathur, Tyler J VanderWeele
Journal of the Royal Statistical Society. Series C, Applied Statistics
|
November 2, 2020
Sensitivity analysis for publication bias in meta-analyses
Maya B Mathur, Tyler J VanderWeele
Epidemiology (Cambridge, Mass.)
|
October 11, 2022
The Authors Respond
Maya B Mathur, Tyler J VanderWeele
Annual Review of Public Health
|
September 18, 2021
Methods to Address Confounding and Other Biases in Meta-Analyses: Review and Recommendations
Maya B Mathur, Tyler J VanderWeele
American Journal of Epidemiology
|
January 10, 2023
Toward Open and Reproducible Epidemiology
Maya B Mathur, Matthew P Fox
Psychological Methods
|
October 4, 2019
Challenges and suggestions for defining replication "success" when effects may be heterogeneous: Comment on Hedges and Schauer (2019)
Maya B Mathur, Tyler J VanderWeele
Page
of 33