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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.date.accessioned2018-06-22T09:52:30Z
dc.date.available2018-06-22T09:52:30Z
dc.date.issued2009
dc.identifier.urihttps://gnosis.library.ucy.ac.cy/handle/7/41387
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 http://bioinformatics.biol.uoa.gr/∼pbagos/metatrend/. © 2009 Elsevier Inc. All rights reserved.en
dc.language.isoengen
dc.sourceJournal of clinical epidemiologyen
dc.subjectModelsen
dc.subjectAutocorrelationen
dc.subjectRegression analysisen
dc.subjectArticleen
dc.subjectMeta-analysisen
dc.subjectHumansen
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.subjectStatisticalen
dc.titleGeneralized least squares for assessing trends in cumulative meta-analysis with applications in genetic epidemiologyen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1016/j.jclinepi.2008.12.008
dc.description.volume62
dc.description.issue10
dc.description.startingpage1037
dc.description.endingpage1044
dc.author.facultyΙατρική Σχολή / Medical School
dc.type.uhtypeArticleen
dc.contributor.orcidNikolopoulos, Georgios K.[0000-0002-3307-0246]


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