Abstract
Outputs in meta-analysis give us measures of evidence dissemination bias or graphical representation of the pooled results and their underlying heterogeneity. This chapter discusses the various outputs with a focus on their utility and interpretation. Examples focus on the use of MetaXL, which is our own software developed for meta-analysis and is freely available from www.epigear.com. This is the only software currently available that can perform a bias-adjusted meta-analysis.
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Bibliography
Bax L, Ikeda N, Fukui N, Yaju Y, Tsuruta H, Moons KG (2009) More than numbers: the power of graphs in meta-analysis. Am J Epidemiol 169:249–255
Charlson F, Siskind D, Doi SA, McCallum E, Broome A, Lie DC (2012) ECT efficacy and treatment course: a systematic review and meta-analysis of twice vs thrice weekly schedules. J Affect Disord 138:1–8
Lewis JA, Ellis SH (1982) A statistical appraisal of post-infarction beta-blocker trials. Primary Cardiol suppl 1:31–37
Rücker G, Schwarzer G, Carpenter JR, Schumacher M (2008) Undue reliance on I2 in assessing heterogeneity may mislead. BMC Med Res Method 8:79
Rucker G, Carpenter JR, Schwarzer G (2011) Detecting and adjusting for small-study effects in meta-analysis. Biom J 53:351–368
Sterne JA, Egger M (2001) Funnel plots for detecting bias in meta-analysis: guidelines on choice of axis. J Clin Epidemiol 54:1046–1055
Sterne JA, Sutton AJ, Ioannidis JP, Terrin N, Jones DR, Lau J, Carpenter J, Rucker G, Harbord RM, Schmid CH, Tetzlaff J, Deeks JJ, Peters J, Macaskill P, Schwarzer G, Duval S, Altman DG, Moher D, Higgins JP (2011) Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ 343:d4002
Takkouche B, Cadarso-Suarez C, Spiegelman D (1999) Evaluation of old and new tests of heterogeneity in epidemiologic meta-analysis. Am J Epidemiol 150:206–215
Tang JL, Liu JL (2000) Misleading funnel plot for detection of bias in meta-analysis. J Clin Epidemiol 53:477–484
Terrin N, Schmid CH, Lau J (2005) In an empirical evaluation of the funnel plot, researchers could not visually identify publication bias. J Clin Epidemiol 58:894–901
Whiting P, Harbord R, Kleijnen J (2005) No role for quality scores in systematic reviews of diagnostic accuracy studies. BMC Med Res Methodol 5:19
Yusuf S, Collins R, Peto R, Furberg C, Stampfer MJ, Goldhaber SZ, Hennekens CH (1985) Intravenous and intracoronary fibrinolytic therapy in acute myocardial infarction: overview of results on mortality, reinfarction and side-effects from 33 randomized controlled trials. Eur Heart J 6:556–585
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Onitilo, A.A., Doi, S.A.R., Barendregt, J.J. (2013). Meta-analysis II. In: Doi, S., Williams, G. (eds) Methods of Clinical Epidemiology. Springer Series on Epidemiology and Public Health. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37131-8_15
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DOI: https://doi.org/10.1007/978-3-642-37131-8_15
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