This thesis presents copulas as a statistical methodology appropriate to applied health economic research. Like all applied economic and econometric analysis, health economics applies econometric methods under certain assumptions. I propose here that copulas be used in place of common assumptions made when analysing multivariate data, specifically the distributional and dependence assimiptions commonly made jointly-dependent outcomes in health and health care.