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1966
DOI: 10.1093/biomet/53.1-2.167
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Testing for homogeneity: I. The binomial and multinomial distributions

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Cited by 103 publications
(18 citation statements)
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“…For the i th study, denote n i as the number of examined subjects and y i as the number of women with endometriosis. Th e test of heterogeneity in estimates of prevalence was carried out using the following statistic as described in [13] :…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…For the i th study, denote n i as the number of examined subjects and y i as the number of women with endometriosis. Th e test of heterogeneity in estimates of prevalence was carried out using the following statistic as described in [13] :…”
Section: Discussionmentioning
confidence: 99%
“…Under the null hypothesis of homogeneity, G k-1 is distributed approximately as 2 with k -1 degrees of freedom [13] . To formally test whether or not the year of publication, mean age at surgery, and sample size of the study have any eff ect on the prevalence estimate, a mixed-eff ect logit regression model was employed.…”
Section: Discussionmentioning
confidence: 99%
“…Under the null hypothesis, the number of cases in each municipality follows a Poisson distribution, as explained above. The alternative to overdispersion is described by a negative binomial, for which the variance of the mean ratio is 1 + β [32][33][34]. This method expresses overdispersion in relation to the mean by a single parameter β, and β = 0 is tested in a score test.…”
Section: Methodsmentioning
confidence: 99%
“…The results show that use of simulation is particularly impor-tant when small numbers of cases and areas are available for analysis. A similar-test (Potthoff and Whittinghill, 1966a) has been used to check for spatial homogeneity of the probability that haemiiatology reports of immunophenotyping tests were available for ALL cases.…”
Section: Methodsmentioning
confidence: 99%