Sentence examples for multivariable model indicated from inspiring English sources

The multivariable model indicated a slight positive influence of family history of breast cancer.

The multivariable model indicated that socioeconomic status, cumulative breastfeeding, and parity were not associated with cord serum levels after controlling for maternal age.

After correction for the explanatory variables, which included luteal phase irregularities, the multivariable model indicated that lnDO increased by 0.26 units per unit increase in lnOLA.

The result obtained in the multivariable model indicated that when a higher dose is administered, the odds of having cyst shedding increases.

The multivariable model indicated that inoculating cysts into the experimental host had 5.02 times higher odds of cyst shedding than inoculating trophozoites at the mean log dose of 0.0538 (P value ≤ 0.001; CI: 2.63, 9.56).

Interestingly, the multivariable model indicated that concurrent infection with T. congolense and T. vivax is associated with a reduced expression of pathology (in terms of PCV) relative to infections with T. congolense alone, and this may be due to competition between the trypanosome species.

The moderate fit of the overall multivariable model indicates that other essential variables were not included in the model.

This persists in the multivariable model, indicating an association over and above that already known to exist between anxiety and low socioeconomic status.

Results of the multivariable models indicated that compared to matched controls, the CI group had significantly lower mean receptive (24.6 points, p = 0.002) and mean expressive (21.9 points, p = 0.001) language quotients after controlling for confounders such as number of therapies and weekly hours in therapy.

Most hurricane experiences were associated with worse mental health at two months postpartum (tables 3 and 4), and multivariable models indicated that these associations were not due to associations with the measured confounders.

The parameter estimates for lnOLA changes by almost 25% between the univariate and multivariable models, indicating confounding between the variables [ 25].