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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 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 VanderWeelePsychological 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 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 VanderWeeleStatistics 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 VanderWeeleResearch 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 VanderWeeleEnvironment 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 VanderWeelePageof 46