Robustness of different estimators of the between-study variance in random effects meta-analysis: A Monte-Carlo simulation2020-2

Blázquez-Rincón, Desirée

Botella, Juan

Suero, Manuel

Sánchez-Meca, Julio

udiMundus

      - Certificate of Participation -   It is hereby acknowledged, that   Sr.a Desirée Blázquez-Rincón  participated at the Research Synthesis & Big Data Conference 2021, which was held virtually from May, 17 to May, 21, 2021, and presented a paper titled  “Robustness of Different Estimators of the Inter-Study Variance in Random Effects Meta-Analyses: A Monte Carlo Simulation”  authored by  Desirée Blázquez-Rincón, Julio Sánchez-Meca, Juan Botella, & Manuel Suero        Dr. Gabriel Schui Managing Director Desirée Blázquez-Rincón University of Murcia Faculty of Psychology Dept. Basic Psychology and Methodology Murcia Spain Dr. Gabriel Schui Geschäftsführer / Managing Director  gs@leibniz-pyschology.org Tel. +49 (0)651 201 2910  Trier, 24.08.2021  

Robustness of different estimators of the between-study variance in random effects meta-analysis: A Monte-Carlo simulation

https://udimundus.udima.es/bitstream/20.500.12226/1714/1/Certificate%20RSBD%202021_1.pdf

Robustness of different estimators of the between-study variance in random effects meta-analysis: A Monte-Carlo simulation

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