2012
DOI: 10.1177/0194599812471500
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Practical Guide to Understanding Multivariable Analyses, Part B

Abstract: Conjunctive consolidation, one method of multivariable analysis by arranging data into clusters, is intuitive and transparent. An unexpected consequence in writing this article was the discovery of just how useful it is in critically analyzing articles and in designing new projects. It has stimulated a fresh understanding as to the value of multivariable thinking in all clinical research. This article is organized into the sequential steps for performing conjunctive consolidation for critically analyzing an ar… Show more

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Cited by 7 publications
(14 citation statements)
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“…Conjunctive consolidation, a method of stratifying the data within clusters using cross-table analysis based on statistical isometry, was used post hoc to show the composite effect sizes of combined demographic variables on the primary outcome. 24,25 Through this method of stratified analysis, trends in the data are used to assess potential factors associated with high rates of DC. The composite effect size in conjunctive consolidation is a way of exploring interaction outcomes.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Conjunctive consolidation, a method of stratifying the data within clusters using cross-table analysis based on statistical isometry, was used post hoc to show the composite effect sizes of combined demographic variables on the primary outcome. 24,25 Through this method of stratified analysis, trends in the data are used to assess potential factors associated with high rates of DC. The composite effect size in conjunctive consolidation is a way of exploring interaction outcomes.…”
Section: Discussionmentioning
confidence: 99%
“…The association between demographic categories or quantities and the primary outcome (present or absent DC) was measured as proportion difference or median difference with the corresponding 95% CI. Conjunctive consolidation, a method of stratifying the data within clusters using cross-table analysis based on statistical isometry, was used post hoc to show the composite effect sizes of combined demographic variables on the primary outcome . Through this method of stratified analysis, trends in the data are used to assess potential factors associated with high rates of DC.…”
Section: Methodsmentioning
confidence: 99%
“…Conjunctive consolidation was performed to incorporate multiple variables and stratify data into a clinically meaningful classification system . This statistical technique created a classification predictive of poor posttreatment swallow function.…”
Section: Methodsmentioning
confidence: 99%
“…A method used sometimes, such as conjunctive consolidation, arranges data into clusters in a semi‐automated way (introducing knowledge of the investigator). It has been named ‘multivariable analysis’ because it uses data from multiple variables to ‘explain’ the behaviour of a very small number of outcomes (Neely et al ., ). In general, however, investigators aim at having an automatic way to construct clusters of relevant biological importance.…”
Section: Statistical Approachesmentioning
confidence: 99%
“…This is often displayed as involving matrices made of p items endowed of q qualities (commonly named variables), with p usually very large (or in ‘omics’ data often with q >> p as well). A good many multivariate analysis approaches exist to explore this type of data (Lebart et al ., ; Neely et al ., , ). Their role is to provide a statistical procedure to explore the data in a pertinent way.…”
Section: Statistical Approachesmentioning
confidence: 99%