7 Result(s)
within
Elena Kulinskaya
English
Statistical Theory and Methods
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Article
Open AccessOn the Q statistic with constant weights in meta-analysis of binary outcomes
Cochran’s Q statistic is routinely used for testing heterogeneity in meta-analysis. Its expected value (under an incorrect null distribution) is part of several popular estimators of the between-study variance, ...
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Article
Open AccessEstimation in meta-analyses of response ratios
For outcomes that studies report as the means in the treatment and control groups, some medical applications and nearly half of meta-analyses in ecology express the effect as the ratio of means (RoM), also cal...
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Article
Open AccessRisk-adjusted CUSUM control charts for shared frailty survival models with application to hip replacement outcomes: a study using the NJR dataset
Continuous monitoring of surgical outcomes after joint replacement is needed to detect which brands’ components have a higher than expected failure rate and are therefore no longer recommended to be used in su...
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Article
Open AccessMeta-analysis of binary outcomes via generalized linear mixed models: a simulation study
Systematic reviews and meta-analyses of binary outcomes are widespread in all areas of application. The odds ratio, in particular, is by far the most popular effect measure. However, the standard meta-analysis...
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Article
Open AccessAn accurate test for homogeneity of odds ratios based on Cochran’s Q-statistic
A frequently used statistic for testing homogeneity in a meta-analysis of K independent studies is Cochran’s Q. For a standard test of homogeneity the Q statistic is referred to a chi-square distribution with K−1...
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Reference Work Entry In depth
Significance Testing: An Overview
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Reference Work Entry In depth
Meta-Analysis
