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General multivariate models have appeal when analyzing ecological systems because they have the potential to shed light on the relative importance of multifaceted factors.

In previous studies, multivariate models have been mainly used for dichotomous outcomes (i.e. sick/ not sick).

Other authors using multivariate models have reached the same conclusions, verifying therefore that the increase in incidence of THA is not only a consequence of the population growth or ageing [ 7, 9- 11].

Other studies using multivariate models have reached the same conclusions, verifying that the increase in incidence of RTHA is not only a consequence of population growth or ageing [ 3, 4, 22].

The multivariate models have two important advantages over the gestalt of physicians; they combine variables in a mathematically optimal manner by weighing the importance of each variable based on evidence (derived from the training data), and they provide a standardised tool for decision-making.

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Geographic Information Systems GISS) with multivariate models has been used to understand both species-habitat associations and to derive habitat suitability maps (HSM) (Hirzel et al. 2002; Braunisch et al. 2008).

All multivariate models had adequate fit (by the Hosmer and Lemeshow test; Hosmer and Lemeshow, 1989).

Application of multivariate models has been improved prediction accuracy of FHF outcome.

The multivariate models had high levels of specificity for patients who would have a hospital re-attendance at one-year (92 % specific) and three-years (97%% specific).

The covariates considered for inclusion in the multivariate models had demonstrated a bivariate association (p < 0.20) with the outcome variable (CAPS contact).

Taking account of patient preference in multivariate models has been attempted in two US studies (Silliman et al, 1997; Mandelblatt et al, 2000).

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