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We modelled these effects using population data from the UK for both sexes across different age groups to analyse benefits and harms of prophylactic aspirin use in the average-risk general population in the developed world.
Because the three variables of age, period and cohort were originally continuous, we modelled these effects by parametric smooth functions.
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Finally we used clustering to quantify the relative contributions (that is, proportion of variation explained) of genetic and environmental effects to the variation in postpartum haemorrhage and modelled these as random effects in a generalised linear mixed model, specifying the expected cluster correlations for each effect.
To investigate this point further we used an alternative approach involving the transfer function that modelled the effect of the most recent stimulus having allowed for the effect of earlier stimuli on the evoked activity in each subject.
These effects have been modelled analytically on the basis of a hydrodynamic treatment of interactions among fluid flow, electrode surface and particles.
These effects are therefore modelled as parameters, which will be referred to as Multiplicative Factors (MFs) subsequently, that multiply the "basal" rate, For example, for a species with both Akt and JNK phosphorylations, the effect on translocation is the basal rate×MF due to Akt×MF due to JNK.
Standard random effects models assume that the modelled random effects are uncorrelated.
Based on this, the prior number of main-effect QTL was set at lm and the prior for the expected number of all QTL was lm + 3. We simultaneously modelled main effects, QTL-QTL interactions and QTL-sex interactions.
Additional analyses will be conducted to test effects of the intervention on development of depressive symptoms using latent growth curve (LGC) modeling [ 66], in which the intercept and slope of levels of depressive symptoms using scale scores (as we will have 6 assessments) are modelled, and effects of condition can be examined.
High/low pool status was modelled as a fixed effect; array and assay strand were modelled as random effects.
High/low pool status, the variable of interest, was modelled as a fixed effect; array and assay strand were modelled as random effects to account for the additional variation they introduce to the analysis.
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