Sentence examples for multifactorial models were from inspiring English sources

Contrary to that study, multifactorial models were finally used to predict the case-control status.

The major gene model was favoured, and the sporadic and multifactorial models were strongly rejected.

The multifactorial model was revised just over a decade later, prompted in part by the presentation of a new operational cyclical model by Gissane et al. (2001), alongside later suggestions (Bahr and Holme 2003; Bahr and Krosshaug 2005).

A second reason for favoring a multifactorial model is when a disorder is common.

A multifactorial model was used to calculate a combined likelihood ratio [ 3, 4].

The final multifactorial model is thus selected from the classification errors and prediction errors.

In terms of etiology, although the vitamin D deficiency hypothesis remains the most plausible mechanism for postoperative ePTH, other hypotheses including a multifactorial model are still possible given the interrelationship of these factors.

To estimate the effect of treatment modality on the peak values of inflammatory parameters with adjustment for the potential confounding factors, multifactorial linear regression models were used.

Right now, multifactorial etiological models are used to explain the association between marijuana use and the various psychosocial and health-related outcomes.

Multifactorial cox and logistic regression models were calculated to analyse the impact of perceived social support on mortality and survival time controlled for confounding variables.

If multiple genes in a given pathway have frequent regulatory variants, appropriate multifactorial models should be tested for combined effects on fitness and disease.