Sentence examples for multilevel logistic models from inspiring English sources

Browne, W. J., Subramanian, S. V., Jones, K. & Goldstein, H. Variance partitioning in multilevel logistic models that exhibit overdispersion.

Multilevel logistic models with robust variance will be used for binary outcome variables and mixed effect Cox model for survival data.

In particular, the research compares three popular multilevel logistic models (i.e., sequential binary logit models, ordered logit models, and multinomial logit models) as well as three data aggregation methods (i.e., occupant based, vehicle based, and collision based).

To assess the hierarchical structure of the data (center > patient > site), a linear mixed model using the restricted maximum likelihood method (multilevel logistic models for binary outcomes) was constructed to analyse the PPD, mBoP and suppuration, adjusting for factors such as age, gender and past smoke exposure.

** Multilevel logistic models with dog fitted within litter within kennel of birth.

Multilevel linear models will be used for continuous response variables and multilevel logistic models for binary responses.

Using a multilevel logistic model, we found that travel distance is the most important influence on rates of cycling for transfer trips between metro stations and home or workplace.

The model was adjusted for the same variables as the multilevel logistic model.

Then, those which were significantly associated with mortality were analysed using a multilevel logistic model.

The clustered design of the study was taken into account by using a multilevel logistic model.

Factors affecting non-adherence were identified using a multilevel logistic model.