Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2008-2-26
pubmed:abstractText
While meta-analytic techniques are routine in the synthesis of data from randomized controlled trials, there are no clear guidelines on how best to summarize frequency data such as incidence and prevalence estimates. Based on data from two recent systematic reviews of the incidence and prevalence of schizophrenia, this paper explores some of the conceptual and methodological issues related to the meta-analyses of frequency estimates in epidemiology. Because variations in the incidence and prevalence of disorders such as schizophrenia can be informative, there is a case against collapsing data into one pooled estimate. Variations in frequency estimates can be displayed graphically, or summarized with quantiles around measures of central tendency. If pooled estimated are of interest, then researchers need to be aware that studies based on large samples will leverage greater weight on the pooled value. Based on systematic reviews of the incidence and prevalence of schizophrenia, we explore if these and related issues are of practical concern. When used with appropriate caution, meta-analysis can complement the synthesis of frequency data in epidemiology; however, researchers interested in variation should not rely on meta-analysis alone.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1049-8931
pubmed:author
pubmed:copyrightInfo
Copyright (c) 2008 John Wiley & Sons, Ltd.
pubmed:issnType
Print
pubmed:volume
17
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
55-61
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Meta-analyses of the incidence and prevalence of schizophrenia: conceptual and methodological issues.
pubmed:affiliation
Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Locked Bag 500, Richlands, Q4077, Australia.
pubmed:publicationType
Journal Article, Review, Meta-Analysis