Multivariate statistical analysis requires that the observations conform to normal distribution and the data transforms, such as log-transform (Cloutier et al. 2008), rank-ordered (Miller et al. 1997) and normalization (Ravichandrana et al. 1996; Ruiz et al. 1990), are carried out before doing multivariate statistical analysis.
It is acknowledged that the criteria presently used are unlikely to be independent, and multivariate analysis is required to determine the interactions between the variables and to put corrections in place to improve the predictive power of the index.
In this case, the FIGO effect is confounded by the effect of age, and a multivariate analysis is required to adjust for the differences in the age distribution.
Moreover, because of the little size of our seria, caution in the conclusion of non significant results of multivariate analysis is required.
However, RDSAT is limited to generating adjusted estimates of proportions, and is not suited for cross-tabulation or multivariate analysis as required for the objectives of this paper.
Multivariate analysis is required to demonstrate that the prognostic performance of the biomarker is independent of other known factors associated with survival such as age, tumour stage, and other imaging biomarkers.
Multivariate analysis was then required in order to attribute the changes over time observed at the bivariate level while controlling for any observed differences in clientele background characteristics.
Therefore, the NNT for an aged, obese, and diabetic patient may be lower than 33, although a multivariate analysis will be required to test this hypothesis.
A multivariate analysis is therefore required to adjust for these differences, however, account also needs to be taken of the correlation between responses from the same individual.
Quantitative methods were particularly useful to identify deficits in knowledge and practice, and it is noteworthy that multivariate analysis is often required to try to unpick the many confounding factors.
