Displaying 3 results from an estimated 3 matches for "recurrentag".
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recurrent
2010 Aug 19
1
memory problem
...ode
# frailtypack
library(frailtypack)
cgd.ag <- read.csv("C:/rfiles/RE/cgd.csv")
cgd.nfm <-frailtyPenal(Surv(TStart, TStop,
Status)~cluster(Center)+subcluster(ID)
Treatment,data=cgd.ag,Frailty=TRUE,n.knots=8,kappa1=50000,
cross.validation=TRUE,recurrentAG=TRUE)
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2009 Nov 10
0
NEW release of FRAILTYPACK
...INT FRAILTY MODELS in the context of joint modelling of recurrent
events with terminal event:
fitJoint<-frailtyPenal(Surv(time.entry,time.end,status)~cluster(id)+
terminal(status.terminal),formula.terminalEvent=~status.terminal,data=dataJoint
,n.knots=12,kappa1=1,kappa2=1,joint=TRUE,recurrentAG=TRUE)
We included several examples.
REFERENCES
[1] Rondeau V, Michiels S, Liquet B, Pignon JP. Investigating trial and
treatment hete
rogeneity in an individual patient data meta-analysis of survival data
by means of the
penalized maximum likelihood approach. Statistics in Medicine 2008 ;27...
2009 Nov 10
0
NEW release of FRAILTYPACK
...INT FRAILTY MODELS in the context of joint modelling of recurrent
events with terminal event:
fitJoint<-frailtyPenal(Surv(time.entry,time.end,status)~cluster(id)+
terminal(status.terminal),formula.terminalEvent=~status.terminal,data=dataJoint
,n.knots=12,kappa1=1,kappa2=1,joint=TRUE,recurrentAG=TRUE)
We included several examples.
REFERENCES
[1] Rondeau V, Michiels S, Liquet B, Pignon JP. Investigating trial and
treatment hete
rogeneity in an individual patient data meta-analysis of survival data
by means of the
penalized maximum likelihood approach. Statistics in Medicine 2008 ;27...