Sentence examples for multivariable model predicting from inspiring English sources

A multivariable model predicting virological suppression at any follow-up duration up to 24 months of ART adjusting for baseline variables and duration of ART was derived, which included 10 458 patients having viral load data and all baseline values available.

The best multivariable model predicting CVM included age, established arterial disease, cystatin C and smoking (AICc value 77).

However, these results did not retain significance in the multivariable model predicting the overall global outcome or satisfaction.

All univariable predictors of tracheostomy with p <0.25 together with age and sex were entered into the multivariable model predicting tracheostomy.

However, in multivariable model predicting lnOLA, which accounted for the effects of parity, higher calf birth weights per se were associated with an earlier OLA in the current study.

Finally, all variables that were significant in the bivariate analyses were combined in a multivariable model predicting ADL impairment, with the proportion explained variance for the model assessed by the adjusted R statistic.

When IDUs were excluded, the multivariable model predicted the data less well (–2 log likelihood with IDUs = –686.7, without = –660.2), but this exclusion affected neither the direction of the ORs nor their size in a relevant way (data not shown).

In multivariable models predicting age 3 outcomes, there was some indication that exposure to antenatal depression was associated with greater leg length but not HAZ (Table 2).

Radiation therapy did not significantly contribute to multivariable models predicting increasing distress symptoms over time.

In the multivariable models predicting alcohol consumption, only significant factors (p < 0.05) were included.

Stepwise logistic regression was used to determine which variables remained in multivariable models predicting microalbuminuria and rapid GFR decline.