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Items: 1 to 20 of 281

1.

Misleading funnel plot for detection of bias in meta-analysis.

Tang JL, Liu JL.

J Clin Epidemiol. 2000 May;53(5):477-84.

PMID:
10812319
2.

Funnel plots for detecting bias in meta-analysis: guidelines on choice of axis.

Sterne JA, Egger M.

J Clin Epidemiol. 2001 Oct;54(10):1046-55.

PMID:
11576817
3.

In an empirical evaluation of the funnel plot, researchers could not visually identify publication bias.

Terrin N, Schmid CH, Lau J.

J Clin Epidemiol. 2005 Sep;58(9):894-901.

PMID:
16085192
4.

Bias in meta-analysis detected by a simple, graphical test.

Egger M, Davey Smith G, Schneider M, Minder C.

BMJ. 1997 Sep 13;315(7109):629-34.

5.

Asymmetric funnel plots and publication bias in meta-analyses of diagnostic accuracy.

Song F, Khan KS, Dinnes J, Sutton AJ.

Int J Epidemiol. 2002 Feb;31(1):88-95.

6.

Bias in meta-analysis and funnel plot asymmetry.

Biljana M, Jelena M, Branislav J, Milorad R.

Stud Health Technol Inform. 1999;68:323-8.

PMID:
10724898
7.

More than numbers: the power of graphs in meta-analysis.

Bax L, Ikeda N, Fukui N, Yaju Y, Tsuruta H, Moons KG.

Am J Epidemiol. 2009 Jan 15;169(2):249-55. doi: 10.1093/aje/kwn340. Epub 2008 Dec 8.

8.

[Practical considerations on detection of publication bias].

Palma Pérez S, Delgado Rodríguez M.

Gac Sanit. 2006 Dec;20 Suppl 3:10-6. Spanish.

9.

Publication and related bias in meta-analysis: power of statistical tests and prevalence in the literature.

Sterne JA, Gavaghan D, Egger M.

J Clin Epidemiol. 2000 Nov;53(11):1119-29.

PMID:
11106885
10.
11.
12.

Identification and impact of outcome selection bias in meta-analysis.

Williamson PR, Gamble C.

Stat Med. 2005 May 30;24(10):1547-61. Review.

PMID:
15580591
13.

Contour-enhanced meta-analysis funnel plots help distinguish publication bias from other causes of asymmetry.

Peters JL, Sutton AJ, Jones DR, Abrams KR, Rushton L.

J Clin Epidemiol. 2008 Oct;61(10):991-6. doi: 10.1016/j.jclinepi.2007.11.010. Epub 2008 Jun 6.

PMID:
18538991
14.

Heterogeneity and statistical significance in meta-analysis: an empirical study of 125 meta-analyses.

Engels EA, Schmid CH, Terrin N, Olkin I, Lau J.

Stat Med. 2000 Jul 15;19(13):1707-28. Review.

PMID:
10861773
15.

[Meta-analyses or megatrials: same level of proof?].

Mismetti P, Cucherat M, Laporte S.

Presse Med. 2007 Mar;36(3 Pt 2):524-30. Epub 2007 Feb 1. Review. French.

PMID:
17275251
16.

Factors affecting the comparability of meta-analyses and largest trials results in perinatology.

Villar J, Piaggio G, Carroli G, Donner A.

J Clin Epidemiol. 1997 Sep;50(9):997-1002. Review.

PMID:
9363033
17.

A comparison of methods to detect publication bias in meta-analysis.

Macaskill P, Walter SD, Irwig L.

Stat Med. 2001 Feb 28;20(4):641-54.

PMID:
11223905
18.

Detecting and adjusting for small-study effects in meta-analysis.

Rücker G, Carpenter JR, Schwarzer G.

Biom J. 2011 Mar;53(2):351-68. doi: 10.1002/bimj.201000151. Epub 2011 Jan 14.

PMID:
21374698
19.

Is there a "best" way to detect and minimize publication bias? An empirical evaluation.

Pham B, Platt R, McAuley L, Klassen TP, Moher D.

Eval Health Prof. 2001 Jun;24(2):109-25.

PMID:
11523382
20.

Performance of the trim and fill method in the presence of publication bias and between-study heterogeneity.

Peters JL, Sutton AJ, Jones DR, Abrams KR, Rushton L.

Stat Med. 2007 Nov 10;26(25):4544-62.

PMID:
17476644
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