dc.contributor.author | Bagos, Pantelis G. | en |
dc.contributor.author | Nikolopoulos, Georgios K. | en |
dc.creator | Bagos, Pantelis G. | en |
dc.creator | Nikolopoulos, Georgios K. | en |
dc.date.accessioned | 2018-06-22T09:52:30Z | |
dc.date.available | 2018-06-22T09:52:30Z | |
dc.date.issued | 2009 | |
dc.identifier.uri | https://gnosis.library.ucy.ac.cy/handle/7/41387 | |
dc.description.abstract | Objective: 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.iso | eng | en |
dc.source | Journal of clinical epidemiology | en |
dc.subject | Models | en |
dc.subject | Autocorrelation | en |
dc.subject | Regression analysis | en |
dc.subject | Article | en |
dc.subject | Meta-analysis | en |
dc.subject | Humans | en |
dc.subject | Priority journal | en |
dc.subject | Statistical analysis | en |
dc.subject | Genetic epidemiology | en |
dc.subject | Genetic predisposition to disease | en |
dc.subject | Clinical assessment | en |
dc.subject | Clinical assessment tool | en |
dc.subject | Computational biology | en |
dc.subject | Correlation analysis | en |
dc.subject | Cumulative meta-analysis | en |
dc.subject | Effect size | en |
dc.subject | Evidence-based medicine | en |
dc.subject | Generalized least squares | en |
dc.subject | Genetic association studies | en |
dc.subject | Intermethod comparison | en |
dc.subject | Least-squares analysis | en |
dc.subject | Linear regression analysis | en |
dc.subject | Meta-analysis as topic | en |
dc.subject | Molecular epidemiology | en |
dc.subject | Statistical | en |
dc.title | Generalized least squares for assessing trends in cumulative meta-analysis with applications in genetic epidemiology | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1016/j.jclinepi.2008.12.008 | |
dc.description.volume | 62 | |
dc.description.issue | 10 | |
dc.description.startingpage | 1037 | |
dc.description.endingpage | 1044 | |
dc.author.faculty | Ιατρική Σχολή / Medical School | |
dc.author.department | Ιατρική Σχολή / Medical School | |
dc.type.uhtype | Article | en |
dc.contributor.orcid | Nikolopoulos, Georgios K.[0000-0002-3307-0246] | |
dc.contributor.orcid | Bagos, Pantelis G. [0000-0003-4935-2325] | |
dc.gnosis.orcid | 0000-0002-3307-0246 | |
dc.gnosis.orcid | 0000-0003-4935-2325 | |