2014
DOI: 10.1002/9781118778210
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Applied Mixed Models in Medicine

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Cited by 290 publications
(327 citation statements)
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“…Multivariate analysis of the main predictors of complications was performed by using logistic regression model [26,27]. Because the unit of observation (patient) was different from the unit of analysis (center), a within-center correlation of outcomes was taken into account by means of a random-effect analysis with grouping by center [28]. Centers were also separated according to the hospital academic status (academic vs. non-academic center).…”
Section: Resultsmentioning
confidence: 99%
“…Multivariate analysis of the main predictors of complications was performed by using logistic regression model [26,27]. Because the unit of observation (patient) was different from the unit of analysis (center), a within-center correlation of outcomes was taken into account by means of a random-effect analysis with grouping by center [28]. Centers were also separated according to the hospital academic status (academic vs. non-academic center).…”
Section: Resultsmentioning
confidence: 99%
“…DNAm measures can be conceptualized as repeat measures within an individual. For this reason, we used a 2-level multilevel model, 46 to examine associations of individual-level SES with multiple measures of DNAm within each gene. This approach allowed us to account for correlations between DNAm levels within an individual by including a random intercept for each person.…”
Section: Resultsmentioning
confidence: 99%
“…A mixed model addresses the dependence of observations in a repeated measurement design by modeling the within-person and between-person variances simultaneously. 20,21 It allows for an analysis of repeated measures with unbalanced times of measurement. 22 We analyzed the correlations of 1,5-AG and FA with other glycemic parameters calculated from CGMS data for the two visits using a mixed model with AR(1) covariance between the two visits.…”
Section: Resultsmentioning
confidence: 99%
“…22 We analyzed the correlations of 1,5-AG and FA with other glycemic parameters calculated from CGMS data for the two visits using a mixed model with AR(1) covariance between the two visits. [20][21][22][23] Statistical significance was established as P < 0.05.…”
Section: Resultsmentioning
confidence: 99%