Literature DB >> 23054577

Principles of meta-analysis should be well understood.

Seyed Hossein Aalaei-Andabili, Seyed Moayed Alavian.   

Abstract

Mesh：

Year:  2012        PMID： 23054577     DOI： 10.1007/s11695-012-0789-7

Source DB:  PubMed          Journal:  Obes Surg        ISSN： 0960-8923            Impact factor:   4.129


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  9 in total

Review 1.  Heterogeneity and statistical significance in meta-analysis: an empirical study of 125 meta-analyses.

Authors:  E A Engels; C H Schmid; N Terrin; I Olkin; J Lau
Journal:  Stat Med       Date:  2000-07-15       Impact factor: 2.373

2.  Improving the Quality of Reports of Meta-Analyses of Randomised Controlled Trials: The QUOROM Statement.

Authors:  D. Moher; D.J. Cook; S. Eastwood; I. Olkin; D. Rennie; D.F. Stroup
Journal:  Onkologie       Date:  2000-12

3.  High-quality meta-analyses are required for development of evidence in medicine.

Authors:  Seyed Hossein Aalaei-Andabili; Seyed Moayed Alavian
Journal:  J Infect Dis       Date:  2012-03-29       Impact factor: 5.226

4.  A simulation study comparing properties of heterogeneity measures in meta-analyses.

Authors:  M Mittlböck; H Heinzl
Journal:  Stat Med       Date:  2006-12-30       Impact factor: 2.373

Review 5.  Bias in location and selection of studies.

Authors:  M Egger; G D Smith
Journal:  BMJ       Date:  1998-01-03

Review 6.  Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group.

Authors:  D F Stroup; J A Berlin; S C Morton; I Olkin; G D Williamson; D Rennie; D Moher; B J Becker; T A Sipe; S B Thacker
Journal:  JAMA       Date:  2000-04-19       Impact factor: 56.272

Review 7.  Bariatric surgery is effective and safe in patients over 55: a systematic review and meta-analysis.

Authors:  Jeremy Lynch; Ajay Belgaumkar
Journal:  Obes Surg       Date:  2012-09       Impact factor: 4.129

Review 8.  Tools for assessing quality and susceptibility to bias in observational studies in epidemiology: a systematic review and annotated bibliography.

Authors:  Simon Sanderson; Iain D Tatt; Julian P T Higgins
Journal:  Int J Epidemiol       Date:  2007-04-30       Impact factor: 7.196

9.  Undue reliance on I(2) in assessing heterogeneity may mislead.

Authors:  Gerta Rücker; Guido Schwarzer; James R Carpenter; Martin Schumacher
Journal:  BMC Med Res Methodol       Date:  2008-11-27       Impact factor: 4.615
  9 in total

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