1954
DOI: 10.2307/3001666
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The Combination of Estimates from Different Experiments

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Cited by 4,522 publications
(3,138 citation statements)
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“…Heterogeneity was assessed using Cochran chi-square test and Higgins I 2 statistic (Cochran 1954; Higgins et al 2003). For the former, heterogeneity was considered significant at p-values < 0.1.…”
Section: Methodsmentioning
confidence: 99%
“…Heterogeneity was assessed using Cochran chi-square test and Higgins I 2 statistic (Cochran 1954; Higgins et al 2003). For the former, heterogeneity was considered significant at p-values < 0.1.…”
Section: Methodsmentioning
confidence: 99%
“…23,24 If the P value for the Cochran Q test was >0.10, which suggested that the variation in the results may have arisen purely from chance, the pooled RR or HR would be estimated by using a fixed-effects model (the Mantel-Haenszel method). 25 Otherwise, heterogeneity was deemed significant; and a random-effects model (the DerSimonian and Laird method) would be used.…”
Section: Methodsmentioning
confidence: 99%
“…A forest plot showing rate ratios for the incidence among H. pylori positive compared to H. pylori negative study participants was created. Heterogeneity was analysed by the Q-test [6] and by the I 2 -test [7]. Publication bias was analysed by Egger's weighted regression model [8] and by Begg's rank correlation method [9].…”
Section: Methodsmentioning
confidence: 99%