2012
DOI: 10.1080/17457300.2012.734040
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The multilevel diagram

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Cited by 5 publications
(5 citation statements)
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“…Strain CT and EIT variables were measured more than once for each subject. Therefore, data contain natural clusters, the independence assumption cannot be applied to the observations, and intracluster correlation must be considered in the association between EIT data (Δ Z ) and CT data (Strain CT ) by EIT‐based models 35,36 . However, to obtain a reliable and feasible way to estimate the changes in Strain CT from EIT variables in clinical practice, we performed a traditional linear model, subtracting repeated measures, and subsequently, removing the clustered structure of data.…”
Section: Discussionmentioning
confidence: 99%
“…Strain CT and EIT variables were measured more than once for each subject. Therefore, data contain natural clusters, the independence assumption cannot be applied to the observations, and intracluster correlation must be considered in the association between EIT data (Δ Z ) and CT data (Strain CT ) by EIT‐based models 35,36 . However, to obtain a reliable and feasible way to estimate the changes in Strain CT from EIT variables in clinical practice, we performed a traditional linear model, subtracting repeated measures, and subsequently, removing the clustered structure of data.…”
Section: Discussionmentioning
confidence: 99%
“…Our MM had four levels 15 (Table 1), 1) "Patient," the upper level, where genetic variables were assessed; 2) "Scheme" with eight possibilities, depending on the treatment; 3) "cycle" level and 4) "time" level, where the daily ANC and the administration of Granulocyte Colony-Stimulating Factor (G-CSF) were measured. Moreover, we included two interactions: 1) G-CSF/time and 2) administration of G-CSF/hospital.…”
Section: Discussionmentioning
confidence: 99%
“…In a 2 or more level hierarchical clustered study, any research question using as dependent variable any lower level variable will require a multilevel analysis. The next step is to consider using the multilevel diagram [8] as presented in Fig. 1.…”
Section: Nature Of Designmentioning
confidence: 99%
“…In hierarchical data structures with more than 2-levels (see multilevel diagram in Fig. 1), the VPC can be calculated for outcomes measured on units of each lowerlevel, with the numerator as the variation in outcome between units on all levels above [8]. For the example in Fig.…”
Section: Introductionmentioning
confidence: 99%