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dc.contributor.authorBagos, Pantelis G.en
dc.contributor.authorNikolopoulos, Georgios K.en
dc.creatorBagos, Pantelis G.en
dc.creatorNikolopoulos, Georgios K.en
dc.description.abstractObjective: Cumulative meta-analysis allows the evaluation of a study's contribution to the combined effect of the preceding research. It accrues evidence, gradually adding studies one at a time and provides updated estimates along with confidence intervals whenever new evidence emerges. In many research areas, a temporal evolution of the effect size (ES) is present, leading to diminishing effects and would be advantageous to have methods capable of detecting it. Study Design and Setting: We propose a simple regression-based approach for detecting trends in cumulative meta-analysis. We use the combined ES of studies published up to a particular time, as dependent variable and the rank of the published studies as independent variable, in a weighted linear regression to detect a possible trend over time. The correlation between successive ESs used in the regression, is dealt by introducing a first-order autoregressive coefficient using Generalized Least Squares. Results: Application in several published meta-analyses of genetic association studies provides encouraging results, outperforming the commonly used method of comparing the results of first vs. subsequent studies. Conclusion: The particular method is intuitive, easily implemented and allows drawing conclusions based on formal statistical tests. A STATA command is available at∼pbagos/metatrend/. © 2009 Elsevier Inc. All rights reserved.en
dc.sourceJournal of clinical epidemiologyen
dc.subjectRegression analysisen
dc.subjectPriority journalen
dc.subjectStatistical analysisen
dc.subjectGenetic epidemiologyen
dc.subjectGenetic predisposition to diseaseen
dc.subjectClinical assessmenten
dc.subjectClinical assessment toolen
dc.subjectComputational biologyen
dc.subjectCorrelation analysisen
dc.subjectCumulative meta-analysisen
dc.subjectEffect sizeen
dc.subjectEvidence-based medicineen
dc.subjectGeneralized least squaresen
dc.subjectGenetic association studiesen
dc.subjectIntermethod comparisonen
dc.subjectLeast-squares analysisen
dc.subjectLinear regression analysisen
dc.subjectMeta-analysis as topicen
dc.subjectMolecular epidemiologyen
dc.titleGeneralized least squares for assessing trends in cumulative meta-analysis with applications in genetic epidemiologyen
dc.description.endingpage1044Ιατρική Σχολή / Medical School
dc.contributor.orcidNikolopoulos, Georgios K.[0000-0002-3307-0246]

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