The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Detecting Selection Bias in Meta-Analyses with Multiple Outcomes: A Simulation Study. https://app.cochat.ai/papers/10.1080/00220973.2019.1582470
- The paper
- Fernández-Castilla, B., Declercq, L., Jamshidi, L., Beretvas, S. N., Onghena, P., & Van den Noortgate, W. (2021). Detecting Selection Bias in Meta-Analyses with Multiple Outcomes: A Simulation Study. The Journal of Experimental Education. https://doi.org/10.1080/00220973.2019.1582470
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
