Using selection models to assess sensitivity to publication bias: A tutorial and call for more routine use-Reference-Cited by-同舟云学术

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Using selection models to assess sensitivity to publication bias: A tutorial and call for more routine use

Published:2022-07 Issue:3 Volume:18 Page:
ISSN:1891-1803
Container-title:Campbell Systematic Reviews
language:en
Short-container-title:Campbell Systematic Reviews

Author:

Maier Maximilian¹²,VanderWeele Tyler J.³,Mathur Maya B.⁴

Affiliation:

1. Department of Experimental Psychology University College London London UK

2. Department of Psychology University of Amsterdam Amsterdam The Netherlands

3. Department of Epidemiology Harvard University Cambridge Massachusetts USA

4. Quantitative Sciences Unit, Department of Pediatrics Stanford University Stanford California USA

Funder

NIH

Publisher

Wiley

Subject

General Social Sciences

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cl2.1256

Reference48 articles.

1. Bartoš F. Maier M. Quintana D. &Wagenmakers E.‐J.(2020). Adjusting for publication bias in JASP and r—Selection models PET‐PEESE and robust Bayesian meta‐analysis.Advances in Methods and Practices in Psychological Science.https://doi.org/10.31234/osf.io/75bqn

2. Bartoš F. Maier M. Wagenmakers E.‐J. Doucouliagos H. &Stanley T. D.(2021). No need to choose: Robust Bayesian meta‐analysis with competing publication bias adjustment methods.Evidence Synthesis Methods.https://doi.org/10.31234/osf.io/kvsp7

3. Correcting for Bias in Psychology: A Comparison of Meta-Analytic Methods

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