Sentence examples for multivariate model involving from inspiring English sources

In a multivariate model, involving up to second degree interactions between MSI status, BRAF mutation and tumor site, adjusted for grade, T stage and N stage, the only significant interaction was between BRAF mutation and tumor site (P = 0.047).

Because hormone therapy was done more frequently in older patients than young age group (Table 2)., we made another multivariate model involving hormone therapy in patients with ER positive and/or PR positive cancer to address the effect of hormone therapy on the prognostic significance of young age.

In step 1, the multivariate model involves covariates, demographic, and organizational characteristics.

For multivariate models involving plaque, plaque presence was used as the dependent variable and logistic regression was used for modelling.

In a subsequent statistical analysis, no significant change in the risk of asbestosis was observed in numerous multivariate models involving different genotypes, cumulative asbestos exposure and possible confounders, or effect modifiers compared to univariate models (data not shown).

Inclusion of body mass index (BMI) (<20, 20 <24, 24 <28, or ⩾28 kg m−2) in multivariate models involving postmenopausal women only did not appreciably alter the fish– (marine n-3 fatty acids) breast cancer association.

In particular, we employ a multivariate generalized autoregressive conditionally heteroskedastic (MVGARCH) model involving time-varying settings and multivariate Markov switching autoregressive conditionally heteroskedastic (MVSWARCH) model with regime-switching techniques and compare them with a conventional linear regression-based (LRB) model.

Boyd and Hooper (1993), in a study of multivariate regression models involving age and the performance on the original battery for adults found the verbal IQ and, more markedly, the full-scale IQ, to have predictive capabilities.

Table s1 Multivariate regression models involving blood cells.

They also reported results of multivariate risk modelling involving a range of risk factors for lung cancer.

The association of selected variables with MACE was assessed using Cox's proportional hazards survival model involving univariate and forward stepwise multivariate procedures.