Sentence examples for multivariate models presented from inspiring English sources

Summarizing the results of the different multivariate models presented in Tables 2 and 3, it appears that only demographic factors (age, sex and occupation) and the presence of infected buffaloes were significant indicators for human infection prevalence after spatial correlation had been taken into account.

There was no evidence of non-proportional hazards in the multivariate models presented.

The multivariate models presented in the next section shed more light on the effects of these individual characteristics.

Another limitation of the multivariate models presented here is that they rely on the normal approximation to binomial distribution to incorporate the within-study correlations in the model.

Independent relationships between adverse longitudinal changes in risk variables since childhood and adult pre-diabetes and diabetes conditions were determined in the multivariate models, presented in Table 2. Adverse changes in LDL cholesterol and glucose were independently associated with pre-diabetes status and adverse changes in BMI, HDL cholesterol, and glucose with diabetes status.

An obvious limitation to implementation of the multivariate models presented in this paper is the limited availability of data including i) the problem of missing within-study correlations and ii) the requirement for a relatively large number of studies to estimate all model parameters.

The results of these analyses imply that a hypothetical 40-year-old female RA patient with elevated levels of ESR and anti-CCP would at one-year follow-up have a predicted DXR-BMD loss of 4.2% and an odds of 6.4 for cortical hand bone loss, compared with a similar patient with normal levels of ESR and anti-CCP (calculated from the multivariate regression models presented in Tables 4 and 6).

It should be noted however that due to the relatively small number of observations (n = 25 countries) used in the model estimation, the reliability of the adjusted R2 value is somewhat limited and it should be interpreted as a rough estimate only of the model fit of each of the multivariate linear regression models presented in this section.

Age-stratified multivariate models are presented for month of visit.

Results of univariate and multivariate models are presented in Table 6.

aDue to limited space, not all covariates included in the IPTW and Multivariate models are presented in Table 1.