Effects of study precision and risk of bias in networks of interventions: a network meta-epidemiological study
Author(s) -
Anna Chaimani,
Haris S. Vasiliadis,
Nikolaos Pandis,
Christopher H. Schmid,
Nicky J. Welton,
Georgia Salanti
Publication year - 2013
Publication title -
international journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.406
H-Index - 208
eISSN - 1464-3685
pISSN - 0300-5771
DOI - 10.1093/ije/dyt074
Subject(s) - meta analysis , blinding , sample size determination , random effects model , statistics , medicine , variance (accounting) , meta regression , odds ratio , publication bias , randomized controlled trial , study heterogeneity , econometrics , mathematics , accounting , business
Empirical research has illustrated an association between study size and relative treatment effects, but conclusions have been inconsistent about the association of study size with the risk of bias items. Small studies give generally imprecisely estimated treatment effects, and study variance can serve as a surrogate for study size.
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