Literature DB >> 7754262

Meta-analysis: weighing the evidence.

D R Jones1.   

Abstract

Use of meta-analytical (quantitative overview) techniques is now commonplace in a wide range of medical research contexts, with a rapid rise in its frequency of use being particularly apparent in the last decade. The history of meta-analyses in other fields, particularly psychology and educational research, is longer. Many methods have been proposed and used, from crude 'vote counting' of studies showing significant or non-significant results, through methods for combination of effect size estimates based on fixed or random effects models, to general linear mixed models and Bayesian methods. The history of meta-analysis and the advantages and disadvantages of various approaches to it are briefly reviewed in this paper, with reference to pharmaceutical product licence applications, other reviews of clinical trials and epidemiological studies, and health services research.

Mesh:

Year:  1995        PMID: 7754262     DOI: 10.1002/sim.4780140206

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  9 in total

1.  BrainMap taxonomy of experimental design: description and evaluation.

Authors:  Peter T Fox; Angela R Laird; Sarabeth P Fox; P Mickle Fox; Angela M Uecker; Michelle Crank; Sandra F Koenig; Jack L Lancaster
Journal:  Hum Brain Mapp       Date:  2005-05       Impact factor: 5.038

2.  Cardiovascular safety of linagliptin compared with other oral glucose-lowering agents in patients with type 2 diabetes: A sequential monitoring programme in routine care.

Authors:  Elisabetta Patorno; Chandrasekar Gopalakrishnan; Kimberly G Brodovicz; Andrea Meyers; Dorothee B Bartels; Jun Liu; Martin Kulldorff; Sebastian Schneeweiss
Journal:  Diabetes Obes Metab       Date:  2019-05-01       Impact factor: 6.577

3.  Maximizing legacy and impact of primary research: a call for better reporting of results.

Authors:  Neal R Haddaway
Journal:  Ambio       Date:  2014-05-29       Impact factor: 5.129

4.  Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation.

Authors:  Danilo Bzdok; Claudia R Eickhoff; Simon B Eickhoff; Thomas E Nichols; Angela R Laird; Felix Hoffstaedter; Katrin Amunts; Peter T Fox
Journal:  Neuroimage       Date:  2016-05-11       Impact factor: 6.556

5.  Propensity Score Weighting Compared to Matching in a Study of Dabigatran and Warfarin.

Authors:  John D Seeger; Katsiaryna Bykov; Dorothee B Bartels; Krista Huybrechts; Sebastian Schneeweiss
Journal:  Drug Saf       Date:  2017-02       Impact factor: 5.606

6.  BrainMap VBM: An environment for structural meta-analysis.

Authors:  Thomas J Vanasse; P Mickle Fox; Daniel S Barron; Michaela Robertson; Simon B Eickhoff; Jack L Lancaster; Peter T Fox
Journal:  Hum Brain Mapp       Date:  2018-05-02       Impact factor: 5.038

Review 7.  Automated synthesis and visualization of a chemotherapy treatment regimen network.

Authors:  Jeremy Warner; Peter Yang; Gil Alterovitz
Journal:  Stud Health Technol Inform       Date:  2013

8.  Approaches to uncovering cancer diagnostic and prognostic molecular signatures.

Authors:  Shengjun Hong; Yi Huang; Yaqiang Cao; Xingwei Chen; Jing-Dong J Han
Journal:  Mol Cell Oncol       Date:  2014-10-29

Review 9.  Meta-analysis of the parasitic phase traits of Haemonchus contortus infection in sheep.

Authors:  Mathilde Saccareau; Guillaume Sallé; Christèle Robert-Granié; Tom Duchemin; Philippe Jacquiet; Alexandra Blanchard; Jacques Cabaret; Carole R Moreno
Journal:  Parasit Vectors       Date:  2017-04-24       Impact factor: 3.876

  9 in total

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