To adjust for repeated measurements in all other analysis we included animal ID as a random factor in a mixed model using the MIXED procedure in SAS.
These EQ-5D values were analysed based on a linear mixed model using the MIXED procedure in SAS 9.1 (SAS Institute, Cary, NC, USA).
Data on performance and biliary Ig concentrations were analysed with a mixed model using the MIXED procedure of SAS with treatment and litter as the fixed and random effects, respectively.
Values for PP, FP, LP, SCC and SCS were analysed by fitting a linear mixed model using the lme function in R. As suggested by Barillet [ 2], the useful yield describes the ability to process milk into cheese, and was calculated using the predicted protein and fat percentages from the mixed model where UP = FP + 1.85 PP [ 2].
Data were analysed as a mixed model using the PROC MIXED of SAS.
Because the SAS MIXED procedure (PROC MIXED) is commonly used to analyze data sets, this note outlines basic programming procedures that may be used to estimate statistical power of a mixed model using this procedure.
Since the observations over time are nested within patients, analysis was done by a linear mixed model, using the three different groups of ICU patients (AI, septic controls, non-septic controls) as a fixed effect.
To assess the hierarchical structure of the data (center > patient > site), a linear mixed model using the restricted maximum likelihood method (multilevel logistic models for binary outcomes) was constructed to analyse the PPD, mBoP and suppuration, adjusting for factors such as age, gender and past smoke exposure.
Plasma glucose levels over time were compared between groups with a linear mixed model using SAS software.
Statistical significance of differences between the tumour response categories (CR, PR, SD, PD) was obtained by fitting a mixed model using the compound symmetry assumption and the Kenward Roger method.
The relationship between swimming performance of tadpoles at Gosner stage 37 and jump length of froglets at Gosner stage 46 was analysed with a mixed model using jump length as the dependent variable, swimming performance and froglet size as covariates, population as a random factor, and water level treatment as a fixed factor.
