readmission

This contains rehospitalization times after surgery in patients diagnosed with colorectal cancer

datasets

Frailtypack now fits several classes of frailty models
        using Penalized Likelihood on the hazard function. 1) A shared
        gamma frailty model and Cox proportional hazards model. Left
        truncated, censored data and strata (max=2) are allowed.
        Clustered and recurrent survival times can be studied (the
        Andersen-Gill(1982) approach has been implemented for recurrent
        events). An automatic choice of the smoothing parameter is
        possible using an approximated cross-validation procedure. 2)
        Additive frailty models for proportional hazards models with
        two correlated random effects (intercept random effect with
        random slope). 3) Nested frailty models for hierarchically
        clustered data (with 2 levels of clustering) by including two
        iid gamma random effects. 4) Joint frailty models in the
        context of joint modelling of recurrent events with terminal
        event.

Juan Gonzalez

frailtypack

Frailty models using maximum penalized likelihood estimation

readmission function

Gonz'alez, JR., Fernandez, E., Moreno, V. et al. Gender differences in hospital 
 readmission among colorectal cancer patients. Journal of Epidemiology and Community
 Health. In press, 2005.

readmission: Rehospitalization colorectal cancer

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