I have a matched case-control study design, where the outcome is continuous (and highly skewed), and there are multiple confounding variables.
I have found a lot of literature discussing the use of conditional/unconditional logistic regression models, but these are all focused on matched case-control studies with dichotomous outcomes.
What kind of regression model would be appropriate with a continuous outcome? Would the general linear model suffice? What about the case of a highly skewed continuous outcome?