Potential predictors of death at home identified in bivariate analyses will be entered in the regression.
Bivariate analyses will be conducted to examine differences in costs and effectiveness among the intervention arms.
Bivariate analyses will be presented with p-value of variables related with information desire at the level of p < 0.2.
Although the title of this section promises discussion of multivariate models, only the bivariate case will be treated.
Bivariate analysis will be used to examine relationships between each potential predictor and the outcome(s) of interest.
This bivariate Tobit model will be estimated via maximum likelihood.
Application of the bivariate ACER method will be demonstrated for simultaneous wind speed measurements from two separate locations.
Descriptive analyses (univariate and bivariate) will be performed first.
Bivariate statistical tests will be used depending on the type of variable (qualitative or quantitative one).
Bivariate model method will be used to estimate summary sensitivity and specificity.
