Sentence examples for multilevel multinomial regression from inspiring English sources

In step one, crude multilevel multinomial regression analyses were performed with no covariates taken into account.

Table 3 shows the results of the multilevel multinomial regression analyses for each diagnosis group.

For each diagnosis group, multilevel multinomial regression analysis was performed in two steps.

Multilevel multinomial regression analyses were used to determine the relation between minor surgery and hospital referrals on the level of the GP-practice.

The models were estimated using multilevel multinomial regression analyses, for unordered categories, with PQL (penalised quasi-likelihood), first order and constrained level I variance (MLwiN 2.02).

Subsequently, a predictive model was made using multilevel multinomial regression analyses (patients nested in practices) for the diabetes-related healthcare utilisation profiles.

A categorization into three levels (< 6, 6, and 7, ≥ 8) was also considered and a multilevel multinomial logistic regression model was used for the estimation.

Multilevel multinomial logistic regression will be used for the multicategory outcomes mode of delivery and 5 min Apgar score.

A multilevel multinomial logistic regression model with the analgesic group as the dependent variable was used to assess associations of patient and practice characteristics with type of analgesic received.

Therefore, multilevel multinomial logit regression models will be used to examine the cross-sectional associations between physical activity and the various sociodemographic, psychological, social, environmental and areal level factors, and these models will be extended to also account for the correlation in observations arising from the longitudinal nature of the design.

Deep Dirichlet Multinomial Regression.