Clayton-Oakes model with piece-wise constant hazards
Clayton-Oakes frailty model
ClaytonOakes( formula, data = parent.frame(), cluster, var.formula = ~1, cuts = NULL, type = "piecewise", start, control = list(), var.invlink = exp, ... )
formula |
formula specifying the marginal proportional (piecewise constant) hazard structure with the right-hand-side being a survival object (Surv) specifying the entry time (optional), the follow-up time, and event/censoring status at follow-up. The clustering can be specified using the special function |
data |
Data frame |
cluster |
Variable defining the clustering (if not given in the formula) |
var.formula |
Formula specifying the variance component structure (if not given via the cluster special function in the formula) using a linear model with log-link. |
cuts |
Cut points defining the piecewise constant hazard |
type |
when equal to |
start |
Optional starting values |
control |
Control parameters to the optimization routine |
var.invlink |
Inverse link function for variance structure model |
... |
Additional arguments |
Klaus K. Holst
set.seed(1)
d <- subset(simClaytonOakes(500,4,2,1,stoptime=2,left=2),truncated)
e <- ClaytonOakes(survival::Surv(lefttime,time,status)~x+cluster(~1,cluster),
cuts=c(0,0.5,1,2),data=d)
e
d2 <- simClaytonOakes(500,4,2,1,stoptime=2,left=0)
d2$z <- rep(1,nrow(d2)); d2$z[d2$cluster%in%sample(d2$cluster,100)] <- 0
## Marginal=Cox Proportional Hazards model:
ts <- ClaytonOakes(survival::Surv(time,status)~timereg::prop(x)+cluster(~1,cluster),
data=d2,type="two.stage")
## Marginal=Aalens additive model:
ts2 <- ClaytonOakes(survival::Surv(time,status)~x+cluster(~1,cluster),
data=d2,type="two.stage")
## Marginal=Piecewise constant:
e2 <- ClaytonOakes(survival::Surv(time,status)~x+cluster(~-1+factor(z),cluster),
cuts=c(0,0.5,1,2),data=d2)
e2
plot(ts)
plot(e2,add=TRUE)
e3 <- ClaytonOakes(survival::Surv(time,status)~x+cluster(~1,cluster),cuts=c(0,0.5,1,2),
data=d,var.invlink=identity)
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