1,245
Views
34
CrossRef citations to date
0
Altmetric
Measurement, Statistics, and Research Design

Testing Categorical Moderators in Mixed-Effects Meta-analysis in the Presence of Heteroscedasticity

, , , , &

References

  • Ahn, S., Ames, A. J., & Myers, N. D. (2012). A review of meta-analyses in education: Methodological strengths and weaknesses. Review of Educational Research, 82(4), 436–476. doi:10.3102/0034654312458162
  • Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2017). Comprehensive meta-analysis (Vers. 3.3). Englewood, NJ: Biostat Inc.
  • Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to meta-analysis. Chichester, England: Wiley. doi:10.1002/9780470743386
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
  • Cooper, H., Hedges, L. V., & Valentine, J. C. (2009). The handbook of research synthesis and meta-analysis (2nd ed.). New York, NY: Russell Sage Foundation.
  • Davey, J., Turner, R. M., Clarke, M. J., & Higgins, J. P. T. (2011). Characteristics of meta-analyses and their component studies in the Cochrane database of systematic reviews: A cross-sectional, descriptive analysis. BMC Medical Research Methodology, 11, 160. doi:10.1186/1471-2288-11-160
  • DerSimonian, R., & Laird, N. (1986). Meta-analysis in clinical trials. Controlled Clinical Trials, 7(3), 177–188. doi:10.1016/0197-2456(86)90046-2.
  • Gonzalez-Mulé, E., & Aguinis, H. (2017). Advancing theory by assessing boundary conditions with metaregression: A critical review and best-practice recommendations. Journal of Management, 44(6), 2246–2273. doi:10.1177/0149206317710723
  • Harbord, R. M., & Higgins, J. P. T. (2008). Meta-regression in Stata. The Stata Journal: Promoting Communications on Statistics and Stata, 8(4), 493–519. doi:10.1177/1536867X0800800403
  • Hartung, J. (1999). An alternative method for meta-analysis. Biometrical Journal, 41(8), 901–916. doi:10.1002/(SICI)1521-4036(199912)41:8 < 901::AID-BIMJ901 > 3.0.CO;2-W
  • Hartung, J., Argaç, D., & Makambi, K. H. (2002). Small sample properties of tests on homogeneity in one-way Anova and meta-analysis. Statistical Papers, 43(2), 197–235. doi:10.1007/s00362-002-0097-8
  • Hartung, J., Makambi, K. H., & Argac, D. (2001). An extended ANOVA F-test with application to the heterogeneity problem in meta-analysis. Biometrical Journal, 43(2), 135–146. doi:10.1002/1521-4036(200105)43:2 < 135::AID-BIMJ135 > 3.0.CO;2-H
  • Hedges, L. V., & Olkin, I. (1985). Statistical methods for meta-analysis. San Diego, CA: Academic Press.
  • Huizenga, H. M., Visser, I., & Dolan, C. V. (2011). Testing overall and moderator effects in random effects meta-regression. British Journal of Mathematical and Statistical Psychology, 64(1), 1–19. doi:10.1348/000711010X52268
  • Knapp, G., & Hartung, J. (2003). Improved tests for a random effects meta-regression with a single covariate. Statistics in Medicine, 22(17), 2693–2710. doi:10.1002/sim.1482
  • Langan, D., Higgins, J., & Simmonds, M. (2017). Comparative performance of heterogeneity variance estimators in meta‐analysis: A review of simulation studies. Research Synthesis Methods, 8(2), 181–198. doi:10.1002/jrsm.1198
  • Lau, J., Ioannidis, J. P. A., & Schmid, C. H. (1998). Summing up evidence: One answer is not always enough. Lancet, 351(9096), 123–127. doi:10.1016/S0140-6736(97)08468-7
  • Lipsey, M. W., & Wilson, D. B. (1993). The efficacy of psychological, educational, and behavioral treatment: Confirmation from meta-analysis. American Psychologist, 48(12), 1181. doi:10.1037/0003-066X.48.12.1181
  • López-López, J. A., Marín-Martínez, F., Sánchez-Meca, J., Van den Noortgate, W., & Viechtbauer, W. (2014). Estimation of the predictive power of the model in mixed-effects meta-regression models: A simulation study. British Journal of Mathematical and Statistical Psychology, 67(1), 30–48. doi:10.1111/bmsp.12002
  • Morris, C. N. (1983). Parametric empirical Bayes inference: Theory and applications. Journal of the American Statistical Association, 78(381), 47–55. doi:10.1080/01621459.1983.10477920
  • Paule, R. C., & Mandel, J. (1982). Consensus values and weighting factors. Journal of Research of the National Bureau of Standards, 87(5), 377–385. doi:10.6028/jres.087.022
  • Rubio-Aparicio, M., Sánchez-Meca, J., López-López, J. A., Marín-Martínez, F., & Botella, J. (2017). Analysis of categorical moderators in mixed-effects meta-analysis: Consequences of using pooled vs. separate estimates of the residual between-studies variances. British Journal of Mathematical and Statistical Psychology, 70(3), 439–456. doi:10.1111/bmsp.12092
  • Sánchez-Meca, J., & Marín-Martínez, F. (2008). Confidence intervals for the overall effect size in random-effects meta-analysis. Psychological Methods, 13(1), 31–48. doi:10.1037/1082-989X.13.1.31
  • Schmidt, F. L., & Hunter, J. E. (2015). Methods of meta-analysis: Correcting error and bias in research findings (3rd ed.). Los Angeles, CA: Sage.
  • Sidik, K., & Jonkman, J. N. (2005). A note on variance estimation in random effects meta-regression. Journal of Biopharmaceutical Statistics, 15(5), 823–838. doi:10.1081/BIP-200067915
  • Thompson, S. G. (1994). Why sources of heterogeneity in meta-analysis should be investigated. British Medical Journal, 309(6965), 1351–1355. doi:10.1136/bmj.309.6965.1351
  • Thompson, S. G., & Higgins, J. P. T. (2002). How should meta-regression analyses be undertaken and interpreted? Statistics in Medicine, 21(11), 1559–1573. doi:10.1002/sim.1187
  • Veroniki, A. A., Jackson, D., Viechtbauer, W., Bender, R., Bowden, J., Knapp, G., … Salanti, G. (2016). Methods to estimate the between-study variance and its uncertainty in meta-analysis. Research Synthesis Methods, 7(1), 55–79. doi:10.1002/jrsm.1164
  • Viechtbauer, W. (2005). Bias and efficiency of meta-analytic variance estimators in the random-effects model. Journal of Educational and Behavioral Statistics, 30(3), 261–293. doi:10.3102/10769986030003261
  • Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36, 1–48.
  • Viechtbauer, W., López-López, J. A., Sánchez-Meca, J., & Marín-Martínez, F. (2015). A comparison of procedures to test for moderators in mixed-effects meta-regression models. Psychological Methods, 20(3), 360–374. doi:10.1037/met0000023

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.