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Advanced Search Results For "META-analysis"

1 - 10 of 253,441 results for
 "META-analysis"
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Challenges in Comparative Meta-Analysis of the Accuracy of Multiple Diagnostic Tests.

Publication Type:Academic Journal

Source(s):Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2022; Vol. 2345, pp. 299-316.

Abstract:The rapid increase in diagnostic and screening techniques has urged the need to choose among multiple diagnostic tests. For the majority of diseases, there is more than a single test available, and studies usually compare a subset of these tests. In su...

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Effectiveness of antidiabetic agents for treatment of gestational diabetes: A methodological quality assessment of meta-analyses and network meta-analysis.

Publication Type:Academic Journal

Source(s):Journal of diabetes investigation [J Diabetes Investig] 2021 Dec; Vol. 12 (12), pp. 2247-2258. Date of Electronic Publication: 2021 Jun 24.

Abstract:Aims/introduction: Despite there being several meta-analyses on the effects of antidiabetic agents in patients with gestational diabetes mellitus, the reliability of their findings is a concern, mainly due to undetermined methodological quality of thes...

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Bayesian meta-analysis using SAS PROC BGLIMM.

Publication Type:Academic Journal

Source(s):Research synthesis methods [Res Synth Methods] 2021 Nov; Vol. 12 (6), pp. 692-700. Date of Electronic Publication: 2021 Jul 21.

Abstract:Meta-analysis is commonly used to compare two treatments. Network meta-analysis (NMA) is a powerful extension for comparing and contrasting multiple treatments simultaneously in a systematic review of multiple clinical trials. Although the practical ut...

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Bayesian unanchored additive models for component network meta-analysis.

Publication Type:Academic Journal

Source(s):Statistics in medicine [Stat Med] 2022 Sep 30; Vol. 41 (22), pp. 4444-4466. Date of Electronic Publication: 2022 Jul 17.

Abstract:Component network meta-analysis (CNMA) models are an extension of standard network meta-analysis (NMA) models which account for the use of multicomponent treatments in the network. This article contributes innovatively to several statistical aspects of...

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Interpreting and assessing confidence in network meta-analysis results: an introduction for clinicians.

Publication Type:Academic Journal

Source(s):Journal of anesthesia [J Anesth] 2022 Aug; Vol. 36 (4), pp. 524-531. Date of Electronic Publication: 2022 Jun 01.

Abstract:Purpose: We aimed to provide clinicians with introductory guidance for interpreting and assessing confidence in on Network meta-analysis (NMA) results.Methods: We reviewed current literature on NMA and summarized key points.Results: Network meta-analys...

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Bayesian network meta-analysis methods for combining individual participant data and aggregate data from single arm trials and randomised controlled trials.

Publication Type:Academic Journal

Source(s):BMC medical research methodology [BMC Med Res Methodol] 2022 Jul 11; Vol. 22 (1), pp. 186. Date of Electronic Publication: 2022 Jul 11.

Abstract:Background: Increasingly in network meta-analysis (NMA), there is a need to incorporate non-randomised evidence to estimate relative treatment effects, and in particular in cases with limited randomised evidence, sometimes resulting in disconnected net...

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A Revised Framework to Evaluate the Consistency Assumption Globally in a Network of Interventions.

Publication Type:Academic Journal

Source(s):Medical decision making : an international journal of the Society for Medical Decision Making [Med Decis Making] 2022 Jul; Vol. 42 (5), pp. 637-648. Date of Electronic Publication: 2021 Dec 27.

Abstract:Background: The unrelated mean effects (UME) model has been proposed for evaluating the consistency assumption globally in the network of interventions. However, the UME model does not accommodate multiarm trials properly and omits comparisons between ...

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Bayesian approaches to fixed effects meta-analysis.

Publication Type:Academic Journal

Source(s):Research synthesis methods [Res Synth Methods] 2022 Jul; Vol. 13 (4), pp. 520-532. Date of Electronic Publication: 2022 May 15.

Abstract:Bayesian methods seem a natural choice for combining sources of evidence in meta-analyses. However, in practice, their sensitivity to the choice of prior distribution is much less attractive, particularly for parameters describing heterogeneity. A rece...

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Cluster wild bootstrapping to handle dependent effect sizes in meta-analysis with a small number of studies.

Publication Type:Academic Journal

Source(s):Research synthesis methods [Res Synth Methods] 2022 Jul; Vol. 13 (4), pp. 457-477. Date of Electronic Publication: 2022 Apr 26.

Abstract:The most common and well-known meta-regression models work under the assumption that there is only one effect size estimate per study and that the estimates are independent. However, meta-analytic reviews of social science research often include multip...

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MA-cont:pre/post effect size: An interactive tool for the meta-analysis of continuous outcomes using R Shiny.

Publication Type:Academic Journal

Source(s):Research synthesis methods [Res Synth Methods] 2022 Sep; Vol. 13 (5), pp. 649-660. Date of Electronic Publication: 2022 Aug 01.

Abstract:Meta-analysis is a widely used methodology to combine evidence from different sources examining a common research phenomenon, to obtain a quantitative summary of the studied phenomenon. In the medical field, multiple studies investigate the effectivene...

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