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Detecting Selection Bias in Meta-Analyses with Multiple Outcomes: A Simulation Study
Open accessAbstract
This study explores the performance of classical methods for detecting publication bias—namely, Egger’s regression test, Funnel Plot test, Begg’s Rank Correlation and Trim and Fill method—in meta-analysis of studies that report multiple effects. Publication bias, outcome reporting bias, and a combination of these were generated. Egger’s regression test and the Funnel Plot test were extended to three-level models, and possible cutoffs for the estimator of the Trim and Fill method were explored. Furthermore, we checked whether the combination of results of several methods yielded a better control of Type I error rates. Results show that no method works well across all conditions and that performance depends mainly on the population effect size value and the total variance.
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Citations
Cites
Operating characteristics of a rank correlation test for publication bias
Begg, C. B., & Mazumdar, M. (1994) · Biometrics · doi:10.2307/2533446 · Cited by 16,955
Duval, S., & Tweedie, R. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00455.x · Cited by 14,099
The file drawer problem and tolerance for null results.
Rosenthal, R. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.3.638 · Cited by 9,068 · cited 1×
“It is defined as the propensity for publishing positive, significant results to the detriment of studies that report negative or nonsignificant results (Rosenthal, 1979).”
BackgroundDistribution Theory for Glass's Estimator of Effect Size and Related Estimators
Hedges, L. V. (1981) · Journal of Educational Statistics · doi:10.2307/1164588 · Cited by 5,695
A Nonparametric “Trim and Fill” Method of Accounting for Publication Bias in Meta-Analysis
Duval, S., & Tweedie, R. (2000) · Journal of the American Statistical Association · doi:10.1080/01621459.2000.10473905 · Cited by 2,955
Publication Bias in Meta‐Analysis: Prevention, Assessment and Adjustments
(2005) · doi:10.1002/0470870168 · Cited by 2,368
Publication and related bias in meta-analysis
Sterne, J. A. C., Gavaghan, D., & Egger, M. (2000) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(00)00242-0 · Cited by 2,282
Systematic Review of the Empirical Evidence of Study Publication Bias and Outcome Reporting Bias
Dwan, K., Altman, D. G., Arnaiz, J. A., Bloom, J., Chan, A.-W., Cronin, E., Decullier, E., Easterbrook, P. J., Von Elm, E., Gamble, C., et al. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003081 · Cited by 1,546
Publication bias in the social sciences: Unlocking the file drawer
Franco, A., Malhotra, N., & Simonovits, G. (2014) · Science · doi:10.1126/science.1255484 · Cited by 1,542
P-curve: A key to the file-drawer.
Simonsohn, U., Nelson, L. D., & Simmons, J. P. (2014) · Journal of Experimental Psychology: General · doi:10.1037/a0033242 · Cited by 1,500
Cheung, M. W.-L. (2014) · Psychological Methods · doi:10.1037/a0032968 · Cited by 1,342
Fitting three-level meta-analytic models in R: A step-by-step tutorial
Assink, M., & Wibbelink, C. J. M. (2016) · The Quantitative Methods for Psychology · doi:10.20982/tqmp.12.3.p154 · Cited by 1,330
Publication bias in meta-analysis its causes and consequences
Thornton, A. (2000) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(99)00161-4 · Cited by 1,291 · cited 1×
“In this regard, several suggestions have been given (e.g., Ioannidis et al., 2014; Thornton & Lee, 2000), such as the creation of registries wherein researchers can upload their ongoing studies regardless of the results or the change of editorial policies toward a system that encourages editors to…”
BackgroundA comparison of methods to detect publication bias in meta‐analysis
Macaskill, P., Walter, S. D., & Irwig, L. (2001) · Statistics in Medicine · doi:10.1002/sim.698 · Cited by 1,286
Negative results are disappearing from most disciplines and countries
Fanelli, D. (2012) · Scientometrics · doi:10.1007/s11192-011-0494-7 · Cited by 1,248
Three-level meta-analysis of dependent effect sizes
Van den Noortgate, W., López-López, J. A., Marín-Martínez, F., & Sánchez-Meca, J. (2013) · Behavior Research Methods · doi:10.3758/s13428-012-0261-6 · Cited by 1,130
Dwan, K., Gamble, C., Williamson, P. R., Kirkham, J. J., & the Reporting Bias Group (2013) · PLoS ONE · doi:10.1371/journal.pone.0066844 · Cited by 1,127
Stanley, T. D., & Doucouliagos, H. (2014) · Research Synthesis Methods · doi:10.1002/jrsm.1095 · Cited by 916
Regression Methods to Detect Publication and Other Bias in Meta‐Analysis
Sterne, J. A. C., & Egger, M. (2005) · Publication Bias in Meta‐Analysis · doi:10.1002/0470870168.ch6 · Cited by 826
Adjusting for publication bias in the presence of heterogeneity
Terrin, N., Schmid, C. H., Lau, J., & Olkin, I. (2003) · Statistics in Medicine · doi:10.1002/sim.1461 · Cited by 809
Peters, J. L., Sutton, A. J., Jones, D. R., Abrams, K. R., & Rushton, L. (2007) · Statistics in Medicine · doi:10.1002/sim.2889 · Cited by 716
Ioannidis, J. P. A. (1998) · JAMA · doi:10.1001/jama.279.4.281 · Cited by 632
Publication and other reporting biases in cognitive sciences: detection, prevalence, and prevention
Ioannidis, J. P. A., Munafò, M. R., Fusar-Poli, P., Nosek, B. A., & David, S. P. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.02.010 · Cited by 471 · cited 1×
“In this regard, several suggestions have been given (e.g., Ioannidis et al., 2014; Thornton & Lee, 2000), such as the creation of registries wherein researchers can upload their ongoing studies regardless of the results or the change of editorial policies toward a system that encourages editors to…”
BackgroundMeta-analysis of multiple outcomes: a multilevel approach
Van den Noortgate, W., López-López, J. A., Marín-Martínez, F., & Sánchez-Meca, J. (2015) · Behavior Research Methods · doi:10.3758/s13428-014-0527-2 · Cited by 450
Moreno, S. G., Sutton, A. J., Ades, A., Stanley, T. D., Abrams, K. R., Peters, J. L., & Cooper, N. J. (2009) · BMC Medical Research Methodology · doi:10.1186/1471-2288-9-2 · Cited by 373
Moeyaert, M., Ugille, M., Natasha Beretvas, S., Ferron, J., Bunuan, R., & Van den Noortgate, W. (2017) · International Journal of Social Research Methodology · doi:10.1080/13645579.2016.1252189 · Cited by 274 · cited 2×
“Previous simulation research (Moeyaert et al., 2016) has shown that the meta-analytic three-level”
MethodMeta-analysis using effect size distributions of only statistically significant studies.
van Assen, M. A. L. M., van Aert, R. C. M., & Wicherts, J. M. (2015) · Psychological Methods · doi:10.1037/met0000025 · Cited by 265
Platt, L., Melendez-Torres, G. J., O'Donnell, A., Bradley, J., Newbury-Birch, D., Kaner, E., & Ashton, C. (2016) · BMJ Open · doi:10.1136/bmjopen-2016-011473 · Cited by 136
Research works printed but not linked: 21
- 10.1111/j.2044-8317.1978.tb00581.x · DOI · Paper page
- Cohen J., 1988, Statistical power analysis for the behavioral sciences
- 10.1111/1467-985X.00123 · DOI · Paper page
- 10.1136/bmj.38488.385995.8F · DOI
- 10.1136/bmj.315.7109.629 · DOI · Paper page
- 10.1037/a0024445 · DOI · Paper page
- 10.3102/10769986006002107 · doi:10.3102/10769986006002107 · Paper page
- 10.1002/jrsm.5 · DOI · Paper page
- 10.3102/10769986021004299 · DOI
- 10.1111/1467-9876.00197 · DOI
- 10.1001/jama.279.14.1089 · DOI · Paper page
- 10.1002/sim.2293 · DOI
- 10.1002/sim.6342 · DOI · Paper page
- 10.1177/0013164405278585 · DOI
- 10.1207/s15327906mbr3901_5 · DOI
- 10.1001/jama.295.6.676 · DOI · Paper page
- Rendina-Gobioff, G. & Kromrey, J. D. (2006). PUB_BIAS: A SAS macro for detecting publication bias in meta-analysis . Paper presented at the 14th Annual Southeast SAS Users Group (SESUG) Conference, Atlanta, GA.
- 10.1037/a0027128 · DOI
- 10.3758/s13428-017-0973-8 · DOI
- 10.1093/jnci/88.3-4.206 · DOI
- 10.1007/BF02294384 · DOI · Paper page
Cited by
McNulty, K. L., Elliott-Sale, K. J., Dolan, E., Swinton, P. A., Ansdell, P., Goodall, S., Thomas, K., & Hicks, K. M. (2020) · Sports Medicine · doi:10.1007/s40279-020-01319-3 · Cited by 812
Digital interventions for the treatment of depression: a meta-analytic review
Moshe, I., Terhorst, Y., Philippi, P., Domhardt, M., Cuijpers, P., Cristea, I., Pulkki-Råback, L., Baumeister, H., & Sander, L. B. (2021) · Psychological Bulletin · doi:10.1037/bul0000334 · Cited by 390
Methods for testing publication bias in ecological and evolutionary meta‐analyses
Nakagawa, S., Lagisz, M., Jennions, M. D., Koricheva, J., Noble, D. W. A., Parker, T. H., Sánchez‐Tójar, A., Yang, Y., & O'Dea, R. E. (2022) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13724 · Cited by 399
Cai, Z., Mao, P., Wang, Z., Wang, D., He, J., & Fan, X. (2023) · Adolescent Research Review · doi:10.1007/s40894-022-00201-9 · Cited by 192
Román-Caballero, R., Vadillo, M. A., Trainor, L. J., & Lupiáñez, J. (2022) · Educational Research Review · doi:10.1016/j.edurev.2022.100436 · Cited by 118
Metadata
- Authors
- Fernández-Castilla, B., Declercq, L., Jamshidi, L., Beretvas, S. N., Onghena, P., & Van den Noortgate, W.
- Venue
- The Journal of Experimental Education
- Publisher
- Informa UK Limited
- Published
- 2019-04-03
- Volume
- 89
- Issue
- 1
- Pages
- 125-144
- ISSN
- 0022-0973 (ISSN-L)
- 1940-0683
- OpenAlex
- W2932936731
- Cited by
- 285
- References
- 28
- FWCI
- 10.52
- Type
- journal article
- Language
- en
- Open access
- green
- Funders
- Funding was provided through a grant from Fonds Wetenschappelijk Onderzoek
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