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Regression, logistic
	Generalized linear model (example is a case-control study)
	mod  = glm(response_var~covariate_va1 + covariate_var2 + interaction_var1:interaction_var2, data = dat, family = binomial)
	summary(mod)   # gives coefficients and p values
	exp(mod$coefficients) # exponentiate to get odds ratio 
	exp(confint(mod)) # exponentiate the confidence interval
 
Regression, variable selection : https://www.r-bloggers.com/variable-selection-using-automatic-methods/