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Maya B Mathur

Showing results (21-30 of 87) with videos related to

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Journal of the Royal Statistical Society. Series C, Applied Statistics|November 2, 2020
Sensitivity analysis for publication bias in meta-analysesMaya B Mathur, Tyler J VanderWeele
Epidemiology (Cambridge, Mass.)|October 11, 2022
The Authors RespondMaya 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 RecommendationsMaya B Mathur, Tyler J VanderWeele
American Journal of Epidemiology|January 10, 2023
Toward Open and Reproducible EpidemiologyMaya 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
Cognition|September 25, 2015
Navigating a social world with robot partners: A quantitative cartography of the Uncanny ValleyMaya B Mathur, David B Reichling
BMC Medicine|May 1, 2024
Toward evidence-based communication on overweight body mass index and mortalityMaya B Mathur, Vandana S Mathur
Research Synthesis Methods|October 27, 2020
Estimating publication bias in meta-analyses of peer-reviewed studies: A meta-meta-analysis across disciplines and journal tiersMaya B Mathur, Tyler J VanderWeele
American Journal of Epidemiology|November 20, 2018
SOME DESIRABLE PROPERTIES OF THE BONFERRONI CORRECTION: IS THE BONFERRONI CORRECTION REALLY SO BAD?Tyler J VanderWeele, Maya B Mathur
Environment International|December 26, 2021
How to report E-values for meta-analyses: Recommended improvements and additions to the new GRADE approachMaya B Mathur, Tyler J VanderWeele
Pageof 9

Showing results (21-30 of 87) with videos related to

Sort By:
Pageof 9
Journal of the Royal Statistical Society. Series C, Applied Statistics|November 2, 2020
Sensitivity analysis for publication bias in meta-analysesMaya B Mathur, Tyler J VanderWeele
Epidemiology (Cambridge, Mass.)|October 11, 2022
The Authors RespondMaya 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 RecommendationsMaya B Mathur, Tyler J VanderWeele
American Journal of Epidemiology|January 10, 2023
Toward Open and Reproducible EpidemiologyMaya 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
Cognition|September 25, 2015
Navigating a social world with robot partners: A quantitative cartography of the Uncanny ValleyMaya B Mathur, David B Reichling
BMC Medicine|May 1, 2024
Toward evidence-based communication on overweight body mass index and mortalityMaya B Mathur, Vandana S Mathur
Research Synthesis Methods|October 27, 2020
Estimating publication bias in meta-analyses of peer-reviewed studies: A meta-meta-analysis across disciplines and journal tiersMaya B Mathur, Tyler J VanderWeele
American Journal of Epidemiology|November 20, 2018
SOME DESIRABLE PROPERTIES OF THE BONFERRONI CORRECTION: IS THE BONFERRONI CORRECTION REALLY SO BAD?Tyler J VanderWeele, Maya B Mathur
Environment International|December 26, 2021
How to report E-values for meta-analyses: Recommended improvements and additions to the new GRADE approachMaya B Mathur, Tyler J VanderWeele
Pageof 9