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Time to first PPH episode will be modelled using multilevel Cox (proportional hazards) regression analysis.
All other outcomes will be modelled using multilevel Poisson regression, applying transformations to continuous variables as appropriate.
The binomial outcome of 'eating at least 5 fruits or vegetables' is modelled using multilevel logistic regression with random intercept using PROC GLIMMIX in SAS 9.3.
Individual growth trajectories were modelled using multilevel models (two levels: measurement occasion and individual) in the statistical package MLwiN, 27 using fractional polynomials to identify the best-fitting curves.
Anthropometric Z-scores were modelled using multilevel models with a random intercept and random slopes before and after G2/B2 (unstructured correlation matrix), using age as the underlying time-scale.
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Continuity scores were compared across models using multilevel regressions.
Income as an outcome was modelled using a multilevel regression.
It suggests some directions for future research using multilevel models.
Longitudinal analysis was performed using multilevel modelling.
Data were analyzed using multilevel modeling.
Potential predictors were investigated using multilevel modelling.
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