Statistical Considerations in Meta-analysis - 12/08/11
Doi : 10.1016/j.idc.2009.01.003
Michael Barza, MD a, b, Thomas A. Trikalinos, MD b, c, Joseph Lau, MD b, c, ⁎ 
a Department of Medicine, Caritas Carney Hospital, Boston, MA, USA
b School of Medicine, Tufts University, Boston, MA, USA
c Center for Clinical Evidence Synthesis, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington Street, Box #63, Boston, MA 02111, USA
Corresponding author. Center for Clinical Evidence Synthesis, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington Street, Box #63, Boston, MA 02111.Abstract |
Systematic reviews and meta-analyses have recently emerged as key sources of evidence to inform clinical care, from bedside individualized decisions to policy making. This article discusses the principles behind statistical methods for quantitative evidence synthesis, including meta-analysis and meta-regression. The authors present pertinent concepts in an intuitive and nonmathematical fashion by use of examples from the infectious diseases literature.
Le texte complet de cet article est disponible en PDF.Keywords : Systematic review, Meta-analysis, Meta-regression, Quantitative synthesis, Pooling
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© 2009
Elsevier Inc. Tous droits réservés.
Vol 23 - N° 2
P. 195-210 - juin 2009 Retour au numéro
Article précédent
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