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Any-stage AKI and stage-3 AKI were modelled using separate logistic regression models.
Trends over time will be modelled using separate mixed effects regression models for each of the neurobehavioural scores including a fixed effect for time (gestational and chronological age) and physiological status and an interaction between time and physiological status to assess whether the effect of time is different in the different categories of this variable.
To examine differences between object words and action words, the data was also modelled using separate predictors for the two categories but the contrasts 'guessing objects guessing actions', and the reverse contrast, were not significant at p<0.05 FDRR corrected) in any voxel.
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We used a Cox proportional hazards model, where the effect of each SNP was modelled either as a per-allele hazard ratio (HR) or using separate HRs for heterozygotes and homozygotes.
In this study, survival was directly modelled using classification models to optimise prediction accuracy.
Costs and QALYs were modelled using generalized linear models whilst MACE was modelled using logistic regression.
CD4 cell count at viral set-point was modelled using linear regression models.
In particular, the response of the beam separate from the plate is modelled using finite element analysis.
The response of the plate separate from the beam is modelled using analytical impedances in a manner identical to that used in the companion paper.
Rate variation among branches was modelled using the uncorrelated lognormal distribution (UCLD) model.
Gene-environment interactions were modelled using product terms again assuming an additive genetic model.
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