Viechtbauer W - Search Results

1

Methods to estimate the between-study variance and its uncertainty in meta-analysis.

Veroniki AA, Jackson D, Viechtbauer W, Bender R, Bowden J, Knapp G, Kuss O, Higgins JP, Langan D, Salanti G. Veroniki AA, et al. Among authors: viechtbauer w. Res Synth Methods. 2016 Mar;7(1):55-79. doi: 10.1002/jrsm.1164. Epub 2015 Sep 2. Res Synth Methods. 2016. PMID: 26332144 Free PMC article.

2

Estimation of the predictive power of the model in mixed-effects meta-regression: A simulation study.

López-López JA, Marín-Martínez F, Sánchez-Meca J, Van den Noortgate W, Viechtbauer W. López-López JA, et al. Among authors: viechtbauer w. Br J Math Stat Psychol. 2014 Feb;67(1):30-48. doi: 10.1111/bmsp.12002. Epub 2013 Jan 8. Br J Math Stat Psychol. 2014. PMID: 23297709

3

A comparison of procedures to test for moderators in mixed-effects meta-regression models.

Viechtbauer W, López-López JA, Sánchez-Meca J, Marín-Martínez F. Viechtbauer W, et al. Psychol Methods. 2015 Sep;20(3):360-74. doi: 10.1037/met0000023. Epub 2014 Aug 11. Psychol Methods. 2015. PMID: 25110905

4

Methods for calculating confidence and credible intervals for the residual between-study variance in random effects meta-regression models.

Jackson D, Turner R, Rhodes K, Viechtbauer W. Jackson D, et al. Among authors: viechtbauer w. BMC Med Res Methodol. 2014 Sep 6;14:103. doi: 10.1186/1471-2288-14-103. BMC Med Res Methodol. 2014. PMID: 25196829 Free PMC article.

5

Outlier and influence diagnostics for meta-analysis.

Viechtbauer W, Cheung MW. Viechtbauer W, et al. Res Synth Methods. 2010 Apr;1(2):112-25. doi: 10.1002/jrsm.11. Epub 2010 Oct 4. Res Synth Methods. 2010. PMID: 26061377

6

Two new methods to fit models for network meta-analysis with random inconsistency effects.

Law M, Jackson D, Turner R, Rhodes K, Viechtbauer W. Law M, et al. Among authors: viechtbauer w. BMC Med Res Methodol. 2016 Jul 28;16:87. doi: 10.1186/s12874-016-0184-5. BMC Med Res Methodol. 2016. PMID: 27465416 Free PMC article.

7

Estimation of the biserial correlation and its sampling variance for use in meta-analysis.

Jacobs P, Viechtbauer W. Jacobs P, et al. Among authors: viechtbauer w. Res Synth Methods. 2017 Jun;8(2):161-180. doi: 10.1002/jrsm.1218. Epub 2016 Sep 15. Res Synth Methods. 2017. PMID: 27631635

8

A comparison of seven random-effects models for meta-analyses that estimate the summary odds ratio.

Jackson D, Law M, Stijnen T, Viechtbauer W, White IR. Jackson D, et al. Among authors: viechtbauer w. Stat Med. 2018 Mar 30;37(7):1059-1085. doi: 10.1002/sim.7588. Epub 2018 Jan 8. Stat Med. 2018. PMID: 29315733 Free PMC article.

9

Estimation of an overall standardized mean difference in random-effects meta-analysis if the distribution of random effects departs from normal.

Rubio-Aparicio M, López-López JA, Sánchez-Meca J, Marín-Martínez F, Viechtbauer W, Van den Noortgate W. Rubio-Aparicio M, et al. Among authors: viechtbauer w. Res Synth Methods. 2018 Sep;9(3):489-503. doi: 10.1002/jrsm.1312. Epub 2018 Jul 30. Res Synth Methods. 2018. PMID: 29989344

10

A comparison of heterogeneity variance estimators in simulated random-effects meta-analyses.

Langan D, Higgins JPT, Jackson D, Bowden J, Veroniki AA, Kontopantelis E, Viechtbauer W, Simmonds M. Langan D, et al. Among authors: viechtbauer w. Res Synth Methods. 2019 Mar;10(1):83-98. doi: 10.1002/jrsm.1316. Epub 2018 Sep 6. Res Synth Methods. 2019. PMID: 30067315 Free article.

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