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Research Synthesis Methods|September 28, 2020
Lost in reviews: Looking for the involvement of stakeholders, patients, public and other non-researcher contributors in realist reviewsRuth Abrams, Sophie Park, Geoff Wong, et al.
Research Synthesis Methods|August 30, 2020
Estimating the prevalence of missing experiments in a neuroimaging meta-analysisPantelis Samartsidis, Silvia Montagna, Angela R Laird, et al.
Research Synthesis Methods|September 29, 2020
Zero-cell corrections in random-effects meta-analysesFrank Weber, Guido Knapp, Katja Ickstadt, et al.
Research Synthesis Methods|December 2, 2020
Interval estimation of the overall treatment effect in random-effects meta-analyses: Recommendations from a simulation study comparing frequentist, Bayesian, and bootstrap methodsFrank Weber, Guido Knapp, Änne Glass, et al.
Research Synthesis Methods|December 2, 2020
Meta-analysis as a system of springsTheodoros Papakonstantinou, Adriani Nikolakopoulou, Matthias Egger, et al.
Research Synthesis Methods|October 1, 2022
The importance of plausible data-generating mechanisms in simulation studies: A response to 'Comparing methods for handling missing covariates in meta-regression' by Lee and Beretvas (doi: 10.1002/jrsm.1585)Ian R White
Research Synthesis Methods|November 8, 2021
Applying machine classifiers to update searches: Analysis from two case studiesClaire Stansfield, Gillian Stokes, James Thomas
Research Synthesis Methods|October 6, 2022
Adjusting for misclassification of an exposure in an individual participant data meta-analysisValentijn M T de Jong, Harlan Campbell, Lauren Maxwell, et al.
Research Synthesis Methods|February 26, 2022
Cluster wild bootstrapping to handle dependent effect sizes in meta-analysis with a small number of studiesMegha Joshi, James E Pustejovsky, S Natasha Beretvas
Research Synthesis Methods|October 17, 2018
Features and functioning of Data Abstraction Assistant, a software application for data abstraction during systematic reviewsJens Jap, Ian J Saldanha, Bryant T Smith, et al.
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