event2

A numeric variable but should be a Boolean which equals 1 if the subject has experienced an event of type 2 and 0 if not.

This is a special function used in the context of multivariate frailty model with two types of recurrent events and a terminal event
(e.g., censoring variable related to both recurrent events). It contains the indicator of the recurrent event of type 2, normally 0=no event, 1=event, and is used on the right hand side of a formula  of a 'multivePenal' object.  Using <code>event2()</code> in a formula implies that a multivariate frailty model for two types of recurrent events and a terminal event is fitted.

misc

Frailtypack now fits several classes of frailty models
        using a penalized likelihood estimation on the hazard function
        but also a parametric estimation. 1) A shared frailty model
        (with gamma or log-normal frailty distribution) and Cox
        proportional hazard model. Clustered and recurrent survival
        times can be studied. 2) Additive frailty models for
        proportional hazard 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 for recurrent
        events with terminal event for clustered data or not.
        Prediction values are available. Left truncated (not for Joint
        model), right-censored data, interval-censored data (only for
        Cox proportional hazard and shared frailty model) and strata
        (max=2) are allowed. In each model, the random effects have a
        gamma distribution, but you can switch to a log-normal in
        shared and joint models. Now, you can also consider
        time-varying covariates effects in Cox, shared and joint
        models. The package includes concordance measures for Cox
        proportional hazards models and for shared frailty models.

event2: Identify event2 indicator

Description

Usage

Arguments

Value

See Also

Examples