I would like to test a collinearity between possible "predictors (risk factors)" for binary outcome (death).
Possible "predictors" are categorical (always binary) and continuous...
- For two continuous (age, weighth, etc.), I can use a bivariate correlation, i.e. Pearson or Spearman, right?
- How to deal with categorical (binary) vs. categorical (binary)? Would be a Chi-Square-Test or Fischer´s exact test correct? With p-value over 0,05 meaning there is no difference? Or would it be totally incorrect?
- How to deal with categorical (binary) vs. continuous? E.g., as potential predictors premature birth (binary categorical) and birth weight (continuous) - it´s clear they are somehow correlated with each other (premature birth means almost always lower birth weight).
I would like to use binary logistic regression as a final multivariate model ...
I am using SPSS 22.0