Your English writing platform
Discover LudwigSuggestions(4)
Exact(5)
*Results from multilevel multinomial models.
For ordinal measures, multilevel multinomial models will be considered [ 51].
Multilevel multinomial models were used to identify women most responsive to intervention.
A series of multilevel multinomial models were fitted to each of the process variables.
We fitted multilevel multinomial models, taking into account the pairing of VDC area clusters, the clustering of women within VDC areas and households, and the correspondence between repeat prospective pregnancies in the same woman, to the 4-category outcomes.
Similar(55)
The resulting models are called multilevel multinomial logit models (MML).
Considering that organizations are nested within HSSC territories, generalized linear mixed models (GLMM) with random intercept were used for these analyses, multilevel linear regression models with continuous variables and multilevel multinomial regression models with categorical dependent variables [ 33].
The first modeling structure considered is the multilevel multinomial logit model.
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.
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.
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).
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com