Is it appropriate to do a multiple logistic regression where both the dependent and independent variables are binary?
Or, can I only use simple logistic regression?
What's the difference between these two methods?
The difference between a multiple logistic regression and a simple logistic regression is that the multiple regression -- by definition -- includes more than one regressor! Both models can handle categorical and continuous variables, or any combination thereof.