View source: R/lrs.multistate.R
lrs.multistate | R Documentation |
This function computes a Likelihood Ratio Statistic to compare two embedded multistate models.
lrs.multistate(model1, model0)
model1 |
A list containing the results after using a function included in the present |
model0 |
A list containing the results after using a function included in the present |
statistic |
The value of the statistic. |
ddl |
The degrees of freedom. |
pvalue |
The p-value. |
Yohann Foucher <Yohann.Foucher@univ-poitiers.fr>
Florence Gillaizeau <Florence.Gillaizeau@univ-nantes.fr>
data(dataDIVAT1)
# A subgroup analysis to reduce the time needed for this example
dataDIVAT1$id<-c(1:nrow(dataDIVAT1))
set.seed(2)
d3<-dataDIVAT1[dataDIVAT1$id %in% sample(dataDIVAT1$id, 250, replace = FALSE),]
# To illustrate the use of a 3-state model, individuals with trajectory 13 and 123 are
# censored at the time of transition into state X=3
d3$trajectory[d3$trajectory==13]<-1
d3$trajectory[d3$trajectory==123]<-12
d3$trajectory[d3$trajectory==14]<-13
d3$trajectory[d3$trajectory==124]<-123
# 3-state parametric semi-Markov model : does 'z' influence both the
# transition 1->3 ? We only reduced the precision and the number of iteration
# to save time in this example, prefere the default values.
m1 <- semi.markov.3states(times1=d3$time1, times2=d3$time2,
sequences=d3$trajectory, dist=c("E","E","E"),
ini.dist.12=c(9.93), ini.dist.13=c(11.54), ini.dist.23=c(10.21),
cov.12=d3$z, init.cov.12=c(-0.13), names.12=c("beta12_z"),
cov.13=d3$z, init.cov.13=c(1.61), names.13=c("beta13_z"),
conf.int=TRUE, silent=FALSE, precision=0.001)
m1
m0 <- semi.markov.3states(times1=d3$time1, times2=d3$time2,
sequences=d3$trajectory, dist=c("E","E","E"),
ini.dist.12=c(9.93), ini.dist.13=c(11.54), ini.dist.23=c(10.21),
cov.12=d3$z, init.cov.12=c(-0.13), names.12=c("beta12_z"),
conf.int=TRUE, silent=FALSE, precision=0.001)
m0
lrs.multistate(model1=m1, model0=m0)
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