Data were entered separately for the MRSA and VRE studies into standardized forms and verified in duplicate for consistency and accuracy.
The data were entered separately for the household and exit interviews in Epi data software, and they were analyzed using SPSS.
Where clinical/health related and social support indicators were the independent variables of interest, they were entered separately from each other, only controlling for sociodemographics and SES to avoid collinearity.
Results were similar for each approach to successful ageing, when entered separately, and each was highly significant.
For these analyses, each independent variable was entered separately into each of the regression models, together with control variables age, sex, education.
In stepwise multivariable analyses with each component of the MetS entered separately and adjusted for age, LDL-cholesterol and smoking, hypertension was consistently associated with follow-up levels of TPA and IMT in both sexes and with progression of TPA in women (Table 4).
Then, in the second step, the SDQ scales were entered separately and adjusted for health behaviour and sociodemographic factors (model 2, 4 analyses).
Contrast images of parameter estimates encoding trial-specific effects were created for each subject and entered separately into voxel-wise one-sample t-tests (df = 15), to implement a second-level random effects analysis.
Contrast images were created for each subject and entered separately into voxel-wise 1-sample t-tests (individual contrasts: [MF ML], [ML NC], [ML MF], [NC ML]; Figs 3 and 4) or one-way analyses of variance (ANOVAs) (conjunction analysis; Fig. 2), in a random effects analysis (Penny et al. 2003), for inference at the between-subject level.
