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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 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 VanderWeeleBMC Medicine|May 1, 2024
Toward evidence-based communication on overweight body mass index and mortalityMaya B Mathur, Vandana S MathurStatistics in Medicine|December 5, 2018
New metrics for meta-analyses of heterogeneous effectsMaya B Mathur, Tyler J VanderWeeleJournal 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 VanderWeeleFrontiers in Psychology|October 19, 2016
Direct-to-Consumer Drug Advertisements Can Paradoxically Increase Intentions to Adopt Lifestyle ChangesMaya B Mathur, Michael Gould, Nayer KhazeniPharmacoepidemiology and Drug Safety|September 15, 2020
Assessing the impact of unmeasured confounders for credible and reliable real-world evidenceXiang Zhang, James D Stamey, Maya B MathurPageof 9