The multivariate model consisted of the variables seen in Table 2 plus the duration of the palliative period spent at home (number of weeks as a categorical variable), since it could be associated with the CNs' possibility to provide palliative care.
We then constructed the final multivariate regression model consisting of the variables selected from four models.
Regarding the outcome variable delivery assisted by trained personnel, in addition to the background variables in Model 2, the timing of ANC visit was adjusted for (Model 3), and a final multivariate logistic regression model consisting of Model 3 plus partner's education was computed.
We performed cross-validation analyses to assess performance of multivariate Cox models consisting of these markers and standard clinico-pathological covariates, using an average time-dependent Area Under the Receiver Operating Characteristic curves and compared it to nested Cox models obtained by robust backward selection procedures.
The independent relationship of uPA system components with DSS and OS of ccRCC patients was evaluated by multivariate Cox's regression analyses by adding these factors separately to a base model consisting of clinicopathological parameters including gender, age, tumour stage and tumour grade.
We then built different multivariate models, each consisting of 3 variables (24 h urinary excretion of PCS and 2 other variables) (Table 5).
Our multivariate logistic regression model consisted of 6 risk factors.
Hence, the final multivariate GEE models consisted of age, lowest glucose, AP4-adj and either PaCO2 or PaO2.
Using multivariate logistic regression, the first model consisted of all the demographic variables; model two included social/lifestyle variables plus the significant variable from model one.
†† Combined model consists of the statistically significant variables (P < 0.05) from multivariate analysis in the three separate models combined into a single model, with multivariate analysis then conducted of all these selected variables together.
