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pro vyhledávání: '"Lin, Enxuan"'
Quantifying the heterogeneity is an important issue in meta-analysis, and among the existing measures, the $I^2$ statistic is most commonly used. In this paper, we first illustrate with a simple example that the $I^2$ statistic is heavily dependent o
Externí odkaz:
http://arxiv.org/abs/2403.16706
Quantifying the heterogeneity is an important issue in meta-analysis, and among the existing measures, the $I^2$ statistic is the most commonly used measure in the literature. In this paper, we show that the $I^2$ statistic was, in fact, defined as p
Externí odkaz:
http://arxiv.org/abs/2109.05755
According to Davey et al. (2011) with a total of 22,453 meta-analyses from the January 2008 Issue of the Cochrane Database of Systematic Reviews, the median number of studies included in each meta-analysis is only three. In other words, about a half
Externí odkaz:
http://arxiv.org/abs/2002.04211
Autor:
Lin, Enxuan
Publikováno v:
Open Access Theses and Dissertations.
Meta-analysis is an important statistical tool for systematic reviews and evidence-based medicine. Extracting the observed effect sizes, assessing the magnitude of heterogeneity, choosing the suitable statistical model, and interpreting the summary e
Externí odkaz:
https://repository.hkbu.edu.hk/etd_oa/636
https://repository.hkbu.edu.hk/cgi/viewcontent.cgi?article=1639&context=etd_oa
https://repository.hkbu.edu.hk/cgi/viewcontent.cgi?article=1639&context=etd_oa
