Hello everyone,
I am trying to model a quality of life score that has a range [-0,158 ; 1], where values equal to one indicate the patient is fully healthy, values equal to 0 indicate the patient is dead, values smaller than 0 indicate a health state that is worse than death.
I assume general linear regression is not suitable since my response variable can always go outside the response range depending on the values of the covariates.
What is the suitable model parametrization to make sure that response stays always in the response range?
Thank you in advance.
I am trying to model a quality of life score that has a range [-0,158 ; 1], where values equal to one indicate the patient is fully healthy, values equal to 0 indicate the patient is dead, values smaller than 0 indicate a health state that is worse than death.
I assume general linear regression is not suitable since my response variable can always go outside the response range depending on the values of the covariates.
What is the suitable model parametrization to make sure that response stays always in the response range?
Thank you in advance.