Literature DB >> 34550590

Meta-Analysis of Proportions.

Guido Schwarzer1, Gerta Rücker2.   

Abstract

The meta-analysis of single proportions has become a popular application over the last two decades. Especially, systematic reviews of prevalence studies are conducted in various fields of science, including medicine, ecology, psychology, or social sciences. In this chapter, we illustrate meta-analysis methods to pool single proportions and to compare proportions from two groups. We introduce classic approaches based on the inverse variance method as well as generalized linear mixed models taking the binary structure of the data into account. The most common transformations of proportions and their back-transformations are described both for individual studies and in the meta-analysis setting.
© 2022. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Back-transformation; Generalized linear mixed model; Meta-analysis; Prevalence

Mesh:

Year:  2022        PMID: 34550590     DOI: 10.1007/978-1-0716-1566-9_10

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

1.  Statistical aspects of the analysis of data from retrospective studies of disease.

Authors:  N MANTEL; W HAENSZEL
Journal:  J Natl Cancer Inst       Date:  1959-04       Impact factor: 13.506

  1 in total
  3 in total

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Journal:  PLoS Med       Date:  2022-05-26       Impact factor: 11.613

2.  Incidence of stroke in the first year after diagnosis of cancer-A systematic review and meta-analysis.

Authors:  Ronda Lun; Danielle Carole Roy; Yu Hao; Rishi Deka; Wen-Kuan Huang; Babak B Navi; Deborah M Siegal; Tim Ramsay; Dean Fergusson; Risa Shorr; Dar Dowlatshahi
Journal:  Front Neurol       Date:  2022-09-20       Impact factor: 4.086

Review 3.  Global hotspots and prospects of perimenopausal depression: A bibliometric analysis via CiteSpace.

Authors:  Mingzhou Gao; Hao Zhang; Zhan Gao; Ya Sun; Jieqiong Wang; Fengqin Wei; Dongmei Gao
Journal:  Front Psychiatry       Date:  2022-09-10       Impact factor: 5.435

  3 in total

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