La maladie de Parkinson au Canada (serveur d'exploration)

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Meta-analysis of longitudinal studies.

Identifieur interne : 000825 ( Ncbi/Merge ); précédent : 000824; suivant : 000826

Meta-analysis of longitudinal studies.

Auteurs : K Jack Ishak [Canada] ; Robert W. Platt ; Lawrence Joseph ; James A. Hanley ; J Jaime Caro

Source :

RBID : pubmed:17942468

English descriptors

Abstract

Longitudinal studies typically report estimates of the effect of a treatment or exposure at various times during the course of follow-up. Meta-analyses of these studies must account for correlations between effect estimates from the same study.

DOI: 10.1177/1740774507083567
PubMed: 17942468

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pubmed:17942468

Le document en format XML

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<name sortKey="Ishak, K Jack" sort="Ishak, K Jack" uniqKey="Ishak K" first="K Jack" last="Ishak">K Jack Ishak</name>
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<nlm:affiliation>Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada. jishak@caroresearch.com</nlm:affiliation>
<country xml:lang="fr">Canada</country>
<wicri:regionArea>Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal</wicri:regionArea>
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<settlement type="city">Montréal</settlement>
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<orgName type="university">Université McGill</orgName>
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<name sortKey="Platt, Robert W" sort="Platt, Robert W" uniqKey="Platt R" first="Robert W" last="Platt">Robert W. Platt</name>
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<name sortKey="Joseph, Lawrence" sort="Joseph, Lawrence" uniqKey="Joseph L" first="Lawrence" last="Joseph">Lawrence Joseph</name>
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<name sortKey="Hanley, James A" sort="Hanley, James A" uniqKey="Hanley J" first="James A" last="Hanley">James A. Hanley</name>
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<name sortKey="Caro, J Jaime" sort="Caro, J Jaime" uniqKey="Caro J" first="J Jaime" last="Caro">J Jaime Caro</name>
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<title xml:lang="en">Meta-analysis of longitudinal studies.</title>
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<name sortKey="Ishak, K Jack" sort="Ishak, K Jack" uniqKey="Ishak K" first="K Jack" last="Ishak">K Jack Ishak</name>
<affiliation wicri:level="4">
<nlm:affiliation>Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada. jishak@caroresearch.com</nlm:affiliation>
<country xml:lang="fr">Canada</country>
<wicri:regionArea>Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal</wicri:regionArea>
<placeName>
<settlement type="city">Montréal</settlement>
<region type="state">Québec</region>
<settlement type="city">Montréal</settlement>
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<orgName type="university">Université McGill</orgName>
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<name sortKey="Platt, Robert W" sort="Platt, Robert W" uniqKey="Platt R" first="Robert W" last="Platt">Robert W. Platt</name>
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<name sortKey="Joseph, Lawrence" sort="Joseph, Lawrence" uniqKey="Joseph L" first="Lawrence" last="Joseph">Lawrence Joseph</name>
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<name sortKey="Hanley, James A" sort="Hanley, James A" uniqKey="Hanley J" first="James A" last="Hanley">James A. Hanley</name>
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<name sortKey="Caro, J Jaime" sort="Caro, J Jaime" uniqKey="Caro J" first="J Jaime" last="Caro">J Jaime Caro</name>
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<title level="j">Clinical trials (London, England)</title>
<idno type="ISSN">1740-7745</idno>
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<keywords scheme="KwdEn" xml:lang="en">
<term>Data Interpretation, Statistical</term>
<term>Deep Brain Stimulation</term>
<term>Humans</term>
<term>Longitudinal Studies</term>
<term>Models, Statistical</term>
<term>Parkinson Disease</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Data Interpretation, Statistical</term>
<term>Deep Brain Stimulation</term>
<term>Humans</term>
<term>Longitudinal Studies</term>
<term>Models, Statistical</term>
<term>Parkinson Disease</term>
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<div type="abstract" xml:lang="en">Longitudinal studies typically report estimates of the effect of a treatment or exposure at various times during the course of follow-up. Meta-analyses of these studies must account for correlations between effect estimates from the same study.</div>
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<DateCreated>
<Year>2007</Year>
<Month>10</Month>
<Day>18</Day>
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<DateCompleted>
<Year>2008</Year>
<Month>02</Month>
<Day>14</Day>
</DateCompleted>
<DateRevised>
<Year>2009</Year>
<Month>11</Month>
<Day>03</Day>
</DateRevised>
<Article PubModel="Print">
<Journal>
<ISSN IssnType="Print">1740-7745</ISSN>
<JournalIssue CitedMedium="Print">
<Volume>4</Volume>
<Issue>5</Issue>
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<Year>2007</Year>
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<Title>Clinical trials (London, England)</Title>
<ISOAbbreviation>Clin Trials</ISOAbbreviation>
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<ArticleTitle>Meta-analysis of longitudinal studies.</ArticleTitle>
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<MedlinePgn>525-39</MedlinePgn>
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<AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Longitudinal studies typically report estimates of the effect of a treatment or exposure at various times during the course of follow-up. Meta-analyses of these studies must account for correlations between effect estimates from the same study.</AbstractText>
<AbstractText Label="PURPOSE" NlmCategory="OBJECTIVE">To describe and contrast alternative approaches to handling correlations inherent to longitudinal effect estimates in meta-analyses.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">Linear mixed-effects models can account for correlations in a number of ways. We considered three alternatives: including study-specific random-effects, correlated time-specific random-effects or a general multivariate specification that also allows correlated within-study residuals. Data from a review of studies of the effect of deep-brain stimulation (DBS) in patients with Parkinson's disease are used to illustrate the application of these models.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">are contrasted with those from a naïve meta-analysis in which the correlations are ignored. Results The data included 46 studies that yielded 82 estimates of the effect of DBS measured at 3, 6, 12 months or later after implantation of the stimulator. Models that accounted for correlations, particularly the full multivariate specification, provided better fit (lower AIC) and yielded slightly more precise effect estimates. This was in part due to a relatively extreme observation from a study that provided similar estimates at other times, which in the naïve approach exerts greater influence since it is treated as an independent observation.</AbstractText>
<AbstractText Label="LIMITATIONS" NlmCategory="CONCLUSIONS">Since the true values of the parameters are not known, it is impossible to confirm that estimates from the multivariate approach are necessarily more accurate.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">Standard meta-analytic models can be readily extended to account for correlations between effects in longitudinal studies. These models may provide better fit and possibly more precise summary effect estimates.</AbstractText>
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<Affiliation>Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada. jishak@caroresearch.com</Affiliation>
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<DescriptorName UI="D008137" MajorTopicYN="Y">Longitudinal Studies</DescriptorName>
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<DescriptorName UI="D015233" MajorTopicYN="Y">Models, Statistical</DescriptorName>
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<DescriptorName UI="D010300" MajorTopicYN="N">Parkinson Disease</DescriptorName>
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