I have two groups (36 patients and 30 controls) and I want to check five or six normally distributed (as I checked using skewness and kurtosis values) variables (numeric) that discriminate between the two groups. Which is the best method to analyze my data? Should I perform a logistic regression or a discriminant analysis?
Do a subject-wise cross validation using both discriminant analysis and logistic regression. Whichever is giving better performance (accuracy, sensitivity, specificity and AUC) in cross-validation, use that.
Refer to this link, for more information on why to use subject-wise cross validation https://stats.stackexchange.com/a/240033/86202