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These analyses were done with JMP 7 using linear mixed models with restricted maximum likelihood (REML).
Sources of heterogeneity were determined by using random-effects meta-regression models with restricted maximum likelihood estimation.
Random effect meta-regression models with restricted maximum likelihood estimation were employed to evaluate the different variance among the individual ORs when heterogeneity was detected.
We used random effect meta-regression models with restricted maximum likelihood estimation to evaluate the extent to which different variables explained heterogeneity among the individual ORs.
*From random effects models with restricted maximum likelihood estimate.
First, linear regression models with restricted cubic splines revealed U-shaped associations between WC, WHtR or BMI and the uACR or eGFR.
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Effects of experimental designs on tree growth were estimated using a linear mixed-effects model with restricted maximum likelihood analysis (REML).
The purpose of this study was to develop a rat model with restricted antigenic specificity that develops chronic rejection without any immunologic manipulation to study the T-cell response.
A linear mixed model with restricted maximum-likelihood estimation analysis (SAS Institute Inc).
Different sources of variability were estimated by means of a random intercept model with restricted maximum likelihood (REML) method.
Effectiveness comparing intervention and control clusters was estimated using a random effects model with restricted maximum likelihood estimation.
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