Similarly, in a multivariate model, taking into account subcutaneous AT CD68+ cell number, age, sex, BMI, glycemia, total cholesterol, LDL-c, and blood pressure, age remained the only dependent factor that was significantly associated with C-IMT and F-IMT (P < 10−4; R of the model = 0.45 and 0.07, respectively, for C-IMT and F-IMT).
Although our multivariate models took all these factors into account, residual bias mediated through age or due to unmeasured characteristics cannot be excluded.
Multivariate models took into account potential household inequities such as non-anchor status, household crowding, access to protected sources of water, roof construction, main food item purchased, and perception of community empowerment.
The multivariate model takes this correlation structure into account by allowing the intervention effects measured by one outcome to be correlated with the intervention effects measured by other outcomes.
In order to control for this possible bias, the multivariate models took into account the homogeneity among OCs of the same region; this statistical method should partially adjust for other unknown organisational factors acting at the regional level, i.e. the administrative organization having responsibility for health care organization in Italy.
We will perform multivariate regression models taking the confounding effects (e.g. comorbidity, sociodemographics, type of treatment for depression/anxiety and heart failure severity) into account.
Risk of cognitive decline was analysed by a multivariate mixed model taking repeated values of the MMSE score during the 20 years of follow-up as the outcome.
The effect of peritoneal cytology on endometrial cancer mortality was analysed by multivariate Cox's proportional-hazards modelling, taking into account other variables significantly linked to survival.
Multivariate modelling will take the form of a multilevel or hierarchical model in the first instance; with hospitals at the top level.
In order to incorporate such a multivariate model while taking the phylogenetic non-independence into account, we performed Phylogenetic Generalized Least-Squares [ 70- 72] in a multivariate framework (mPGLS) [ 73].
