IDEAS home Printed from https://ideas.repec.org/p/osf/metaar/vyfcj.html
   My bibliography  Save this paper

Meta-Analysis with Robust Variance Estimation: Expanding the Range of Working Models

Author

Listed:
  • Pustejovsky, James E
  • Tipton, Elizabeth

Abstract

In prevention science and related fields, large meta-analyses are common, and these analyses often involve dependent effect size estimates. Robust variance estimation (RVE) methods provide a way to include all dependent effect sizes in a single meta-regression model, even when the nature of the dependence is unknown. RVE uses a working model of the dependence structure, but the two currently available working models are limited to each describing a single type of dependence. Drawing on flexible tools from multivariate meta-analysis, this paper describes an expanded range of working models, along with accompanying estimation methods, which offer benefits in terms of better capturing the types of data structures that occur in practice and improving the efficiency of meta-regression estimates. We describe how the methods can be implemented using existing software (the ‘metafor’ and ‘clubSandwich’ packages for R) and illustrate the approach in a meta-analysis of randomized trials examining the effects of brief alcohol interventions for adolescents and young adults.

Suggested Citation

  • Pustejovsky, James E & Tipton, Elizabeth, 2020. "Meta-Analysis with Robust Variance Estimation: Expanding the Range of Working Models," MetaArXiv vyfcj, Center for Open Science.
    • Handle: RePEc:osf:metaar:vyfcj
    DOI: 10.31219/osf.io/vyfcj
    as

    Download full text from publisher

    File URL: https://osf.io/download/5f5f8e2e1e8b9c01ade9370f/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/vyfcj?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Elizabeth Tipton & James E. Pustejovsky, 2015. "Small-Sample Adjustments for Tests of Moderators and Model Fit Using Robust Variance Estimation in Meta-Regression," Journal of Educational and Behavioral Statistics, , vol. 40(6), pages 604-634, December.
    2. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
    3. Eric C. Hedberg, 2011. "ROBUMETA: Stata module to perform robust variance estimation in meta-regression with dependent effect size estimates," Statistical Software Components S457219, Boston College Department of Economics, revised 23 Apr 2014.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mathur, Maya B & VanderWeele, Tyler J., 2020. "Meta-Regression Methods to Characterize Evidence Strength Using Meaningful-Effect Percentages Conditional on Study Characteristics," OSF Preprints bmtdq_v1, Center for Open Science.
    2. Vembye, Mikkel Helding & Pustejovsky, James E & Pigott, Terri, 2022. "Power Approximations for Meta-Analysis of Dependent Effect Sizes," MetaArXiv 6tp9y, Center for Open Science.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mikkel Helding Vembye & James Eric Pustejovsky & Therese Deocampo Pigott, 2023. "Power Approximations for Overall Average Effects in Meta-Analysis With Dependent Effect Sizes," Journal of Educational and Behavioral Statistics, , vol. 48(1), pages 70-102, February.
    2. Joshi, Megha & Pustejovsky, James E & Beretvas, S. Natasha, 2021. "Cluster Wild Bootstrapping to Handle Dependent Effect Sizes in Meta-Analysis with a Small Number of Studies," MetaArXiv x6uhk_v1, Center for Open Science.
    3. Waheed, Hassam, 2023. "Nudging smokers away from lighting up: A meta-analysis of framing effect in current smokers," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 104(C).
    4. Welz, Thilo & Viechtbauer, Wolfgang & Pauly, Markus, 2023. "Cluster-robust estimators for multivariate mixed-effects meta-regression," Computational Statistics & Data Analysis, Elsevier, vol. 179(C).
    5. John Protzko & Jon Krosnick & Leif Nelson & Brian A. Nosek & Jordan Axt & Matt Berent & Nicholas Buttrick & Matthew DeBell & Charles R. Ebersole & Sebastian Lundmark & Bo MacInnis & Michael O’Donnell , 2024. "RETRACTED ARTICLE: High replicability of newly discovered social-behavioural findings is achievable," Nature Human Behaviour, Nature, vol. 8(2), pages 311-319, February.
    6. Latha Velayudhan & Katie McGoohan & Sagnik Bhattacharyya, 2021. "Safety and tolerability of natural and synthetic cannabinoids in adults aged over 50 years: A systematic review and meta-analysis," PLOS Medicine, Public Library of Science, vol. 18(3), pages 1-42, March.
    7. Bart Verkuil & Serpil Atasayi & Marc L Molendijk, 2015. "Workplace Bullying and Mental Health: A Meta-Analysis on Cross-Sectional and Longitudinal Data," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-16, August.
    8. Francesca Pilotto & Ingolf Kühn & Rita Adrian & Renate Alber & Audrey Alignier & Christopher Andrews & Jaana Bäck & Luc Barbaro & Deborah Beaumont & Natalie Beenaerts & Sue Benham & David S. Boukal & , 2020. "Meta-analysis of multidecadal biodiversity trends in Europe," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    9. repec:cup:judgdm:v:15:y:2020:i:6:p:972-988 is not listed on IDEAS
    10. Jonas Schmidt & Tammo H. A. Bijmolt, 2020. "Accurately measuring willingness to pay for consumer goods: a meta-analysis of the hypothetical bias," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 499-518, May.
    11. Mario Herberz & Tobias Brosch & Ulf J. J. Hahnel, 2020. "Kilo what? Default units increase value sensitivity in joint evaluations of energy efficiency," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(6), pages 972-988, November.
    12. Maier, Maximilian & VanderWeele, Tyler J. & Mathur, Maya B, 2021. "Using Selection Models to Assess Sensitivity to Publication Bias: A Tutorial and Call for More Routine Use," MetaArXiv tp45u_v1, Center for Open Science.
    13. Piers Steel & Sjoerd Beugelsdijk & Herman Aguinis, 2021. "The anatomy of an award-winning meta-analysis: Recommendations for authors, reviewers, and readers of meta-analytic reviews," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(1), pages 23-44, February.
    14. Augusteijn, Hilde Elisabeth Maria & van Aert, Robbie Cornelis Maria & van Assen, Marcel A. L. M., 2021. "Posterior Probabilities of Effect Sizes and Heterogeneity in Meta-Analysis: An Intuitive Approach of Dealing with Publication Bias," OSF Preprints avkgj, Center for Open Science.
    15. Georgiou, George K. & Guo, Kan & Naveenkumar, Nithya & Vieira, Ana Paula Alves & Das, J.P., 2020. "PASS theory of intelligence and academic achievement: A meta-analytic review," Intelligence, Elsevier, vol. 79(C).
    16. Ciara Keenan & Sarah Miller & Jennifer Hanratty & Therese D. Pigott & Peter Mackie & John Cowman & Christopher Coughlan & Jayne Hamilton & Suzanne Fitzpatrick, 2020. "PROTOCOL: Accommodation‐based interventions for individuals experiencing, or at risk of experiencing, homelessness," Campbell Systematic Reviews, John Wiley & Sons, vol. 16(3), September.
    17. Stephan Kambach & Ingolf Kühn & Bastien Castagneyrol & Helge Bruelheide, 2016. "The Impact of Tree Diversity on Different Aspects of Insect Herbivory along a Global Temperature Gradient - A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-14, November.
    18. Nan Wang & Yuxiang Luan & Rui Ma, 2024. "Detecting causal relationships between work motivation and job performance: a meta-analytic review of cross-lagged studies," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    19. repec:cup:judgdm:v:14:y:2019:i:3:p:234-279 is not listed on IDEAS
    20. de la Cruz, Vera Ysabel V. & Tantriani, & Cheng, Weiguo & Tawaraya, Keitaro, 2023. "Yield gap between organic and conventional farming systems across climate types and sub-types: A meta-analysis," Agricultural Systems, Elsevier, vol. 211(C).
    21. Kelly R Moran & Sara Y Del Valle, 2016. "A Meta-Analysis of the Association between Gender and Protective Behaviors in Response to Respiratory Epidemics and Pandemics," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-25, October.
    22. Cyrielle Maroteau & Antonio Espuela-Ortiz & Esther Herrera-Luis & Sundararajan Srinivasan & Fiona Carr & Roger Tavendale & Karen Wilson & Natalia Hernandez-Pacheco & James D Chalmers & Steve Turner & , 2021. "LTA4H rs2660845 association with montelukast response in early and late-onset asthma," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-17, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:metaar:vyfcj. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://osf.io/preprints/metaarxiv .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.