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About 10,000 papers for “Meta-analysis”

Meta-Meta-analysis

Ton J. Cleophas, Aeilko H. Zwinderman · 2017

Cited by 19

Meta‐analysis and network meta‐analysis

Richard Kay · 2023

A systematic review addresses a well-defined research question by collecting, evaluating and summarising all evidence that fits with the pre-specified eligibility criteria. A meta-analysis is the statistical core of a systematic review that brings together in a quantitative way the results from separate studies to provide an overview regarding a particular treatment or intervention. Pooling is a related procedure that puts all the data together and treats the data as if they came from a single study. Meta-analysis is used in numerous contexts and both within and outside of the regulatory setting. For a continuous endpoint, this could be the mean response on the active treatment minus the mean response in the placebo arm. The relative risks being combined are not independent since the placebo group appears in both, which violates one of the assumptions on which the methods for combination are based.

Cited by 0

Meta‐Analysis

J. I. Bakker · The Blackwell Encyclopedia of Sociology · 2007

There are at least three distinct meanings of the term “meta‐analysis” in social science. It can be used to indicate (1) a literature review of a body of empirical findings, especially in psychology; (2) a summary of replication research on a specific topic; or (3) a theoretical or methodological analysis of the complex philosophical problems associated with commonalities in scientific approaches. The first usage is common in psychology while the second is often used in physical science. Such reflexivity is predicated on an inductive approach. Involved in the third usage is, for example, Ritzer's (1975a, b) emphasis on the importance of paradigmatic “metatheory.” His schema for analyzing sociological theory involves a “meta‐meta‐analysis” of three kinds of metatheory: (1) a means for deeper understanding ; (2) a prelude to theory construction; and (3) a source of overarching perspectives (Ritzer & Goodman 2004: A‐1 to A‐22).

Cited by 0

meta-analysis

Scott W Graf, Sue Lester, Johannes C Nossent et al. · 2016

Introduction: Low copy number (CN) of the Fc gamma receptor 3B (FCGR3B) gene has been associated with systemic autoimmune disease. This receptor for IgG is present almost exclusively on neutrophils and plays a role in their interaction with immune complexes. At present the relationship between FCGR3B and rheumatoid arthritis (RA) is unclear. The aim of the present study was to investigate whether low CN of the FCGR3B gene is associated with susceptibility to RA.

Cited by 0

Meta-Analysis

Larry V. Hedges · Journal of Educational Statistics · 1992

Cited by 46

Meta-Analysis

Raúl Ramos · 2021

Cited by 0Open access

Meta-analysis

Cochrane Consumers and Communication La Trobe University, Rebecca Ryan, Sophie Hill · Open MIND · 2018

Jayne F Tierney, Lesley A Stewart · 2004

Random allocation of patients in a clinical trial should ensure the unbiased assignment and comparison of therapeutic groups. However, this can only be guaranteed if all randomized patients are analysed according to the treatments initially assigned; an intention-to-treat approach.1–3 Yet trial investigators frequently exclude patients from trial analyses sometimes for subjective, if well-intentioned reasons, which may threaten the validity of the treatment comparison (Box 1). Some argue that ineligible patients and sometimes those who never received the intervention may be excluded without introducing bias into the analysis of a trial,4,5 provided they are excluded in a blinded fashion.5 However, even if blinding is feasible, the subsequent analysis may not accurately reflect the impact of an intervention in practice.5 If patients are excluded from analyses for reasons that are related to treatment and outcome, this may bias estimates of the effect of treatment. For example, if patients died from toxic effects of an experimental treatment and were subsequently excluded from the trial analysis, perhaps as ‘early deaths’, the estimate of effect would be biased in favour of that experimental treatment. Moreover, combining trial estimates in a meta-analysis could aggregate any such biases.4 Indeed there is some evidence to suggest that exclusion of patients contributes to differences between results of meta-analyses of individual

Cited by 0

meta-analysis

Bradley S Neal, Ian B Griffiths, Geoffrey J Dowling et al. · 2016

Foot posture as a risk factor for lower limb Conclusion: This systematic review identified strong and very limited evidence of small effect that a pronated foot

Cited by 0