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Journal of the American Statistical Association|September 28, 2020
Sensitivity Analysis for Unmeasured Confounding in Meta-AnalysesMaya B Mathur, Tyler J VanderWeeleEpidemiology (Cambridge, Mass.)|March 7, 2020
Robust Metrics and Sensitivity Analyses for Meta-analyses of Heterogeneous EffectsMaya B Mathur, Tyler J VanderWeeleJournal of Clinical Epidemiology|May 26, 2020
Controversy and debate on credibility ceilings. Paper 1: Fundamental problems with the "credibility ceiling" method for meta-analysesMaya B Mathur, Tyler J VanderWeeleResearch Synthesis Methods|July 1, 2021
Meta-regression methods to characterize evidence strength using meaningful-effect percentages conditional on study characteristicsMaya B Mathur, Tyler J VanderWeeleBehavior Research Methods|June 15, 2019
Open-source software for mouse-tracking in Qualtrics to measure category competitionMaya B Mathur, David B ReichlingJournal of the Royal Statistical Society. Series C, Applied Statistics|November 2, 2020
Sensitivity analysis for publication bias in meta-analysesMaya B Mathur, Tyler J VanderWeeleAnnual Review of Public Health|September 18, 2021
Methods to Address Confounding and Other Biases in Meta-Analyses: Review and RecommendationsMaya B Mathur, Tyler J VanderWeeleAmerican Journal of Epidemiology|January 10, 2023
Toward Open and Reproducible EpidemiologyMaya B Mathur, Matthew P FoxPsychological 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 VanderWeeleCognition|September 25, 2015
Navigating a social world with robot partners: A quantitative cartography of the Uncanny ValleyMaya B Mathur, David B ReichlingPageof 12