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Finally, in the multivariate analyses, the sample was further restricted to allow for a longer time period (3-year lag), with the final sample of 44,634 (56%%).
For multivariate analyses, the number of variables was reduced by principle component analysis (PCA).
For multivariate analyses, the categories 'moderate' to 'very bad' were pooled due to low cell frequencies.
For the multivariate analyses, the NOMREG procedure from SPSS 18.0 was used.
For stepwise multivariate analyses, the probabilities for entry and removal were 0.05 and 0.10, respectively.
For the multivariate analyses, the first two categories were grouped together.
For the univariate and multivariate analyses, the variables were analyzed as discrete categorical variables.
In the phylogenetically controlled multivariate analyses, the number of males had no independent explanatory value.
In multivariate analyses the strongest determinants of reduced MOBILITY were neuropathy and ischemic heart disease.
In both descriptive and multivariate analyses the role of ethnic origin was very significant.
Before embarking on multivariate analyses, the project will conduct a series of bivariate analyses.
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