Summarize the event history data of an illness-death regression model and show regression coefficients for transition intensities
# S3 method for idm
summary(object, conf.int = 0.95, digits = 4, pvalDigits = 4, eps = 0.0001, ...)
No return value.
a idmSplines
object, i.e., the result of a call to the
idm
function with intensities
="Splines".
The level of confidence for the hazard ratios. The default is 0.95
.
number of digits to print.
number of digits to print for p-values.
convergence criterion used for p-values.
other unusued arguments.
R: Celia Touraine <Celia.Touraine@isped.u-bordeaux2.fr> Fortran: Pierre Joly <Pierre.Joly@isped.u-bordeaux2.fr>
idm
, print.idm
,
plot.idm
# \donttest{
library(prodlim)
data(Paq1000)
fit.splines <- idm(formula02=Hist(time=t,event=death,entry=e)~certif,
formula01=Hist(time=list(l,r),event=dementia)~certif,
formula12=~1,
method="Splines",
data=Paq1000)
summary(fit.splines)
# }
Run the code above in your browser using DataLab