Sentence examples for multivariate multinomial regression from inspiring English sources

The associations between the demographic and time characteristics of appointments and their status (completed, FTA or cancelled) were assessed by conducting a simple and multivariate multinomial regression analysis.

Then, to find out which predictors related most strongly to participation at T4, we performed a stepwise multivariate multinomial regression analysis using the same method as described above.

The demographic and time characteristics of FTA and cancelled appointments were analysed using simple and multivariate multinomial regression analysis, to inform interventions that may be necessary.

In addition, we will build a multivariate multinomial regression model of best fit to examine the variability in patient and public views about EHRs.

We used multivariate multinomial regression models to examine the relationships between perceptions of EHR security compared with perceptions of security of current records, taking respondent socio-demographic and health-related characteristics into account (Table  4).

Further analysis by multivariate multinomial regression analysis showed that deaths in the first month (adjusted odds ratio [aOR] 4.64, 95% confidence interval [CI] 2.49 8.63), CD4 count ≥ 200 cells/mm (aOR 5.33, CI 1.05 26.10), non-category 1 TB treatment regimens (aOR 5.23, CI 1.04 9.77), and TB meningitis (aOR 3.27, CI 1.37 7.82) were significant predictors of confirmed TB deaths.

* p < .05; Odds ratios (OR) and 95% confidence intervals (CI) from multivariate multinomial logistic regression analysis; CBCL = Child Behavior Checklist (parent report); CBCL scores standardized; univariate effects of single multinomial regression analyses italicized.

Results of the multivariate multinomial logistic regression analysis.

Multivariate multinomial logistic regression was used to model familial risk, paternal and maternal parenting behavior and substance use, sibling substance use, and friend and school peer smoking, alcohol and drug use.

*Results of multivariate multinomial logistic regression.

Adjusted RRR were estimated using multivariate multinomial logistic regression models.