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Associations with 8-week culture conversion were adjusted in multivariate logistic regression models for factors found to be significant in the parent clinical trial.
* Models for factors other than gender and diabetes were fit in subjects without diabetes.
Table 2 and Table 3 show the final models for factors influencing mortality and survival time.
Associations with treatment outcomes were adjusted in multivariate logistic regression models for factors previously associated with failure and relapse.
We constructed regression models for factors associated with food insecurity, and all variables with a P < 0.25 were included in the final analysis [ 48].
Table 4 shows the adjusted log-binomial regression models for factors associated with each domain of psychosocial assessment during pregnancy and the postnatal period.
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From the language modelling perspective (a), we address the issue of data sparseness by replacing standard n-gram models for Factored Language Models (or FLMs, cf. [8]).
We applied latent variable models for factor analysis of ordinal/categorical data to a 42-item version of Ryff's psychological well-being scales administered to women aged 52 in a UK birth cohort study (n = 1,179).
Table 3 shows the full multivariate-adjusted model for factors cross-sectionally associated with RLS.
We attempted to fit an ordered logistic regression model for factors associated with rape perpetration.
SEM was used to test the hypothesized model for factors that influence GTA teaching self-efficacy.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com