Description Objects from the Class Slots Methods Author(s) See Also Examples
Class of objects like the output of function "curerate"
.
Objects can be created by calls of the form new("CureRate", ...)
.
cureobs
:Object of class "numeric"
medobs
:Object of class "numeric"
curerx
:Object of class "numeric"
medrx
:Object of class "numeric"
actime
:Object of class "vector"
futime
:Object of class "vector"
info
:Object of class "vector"
crits
:Object of class "vector"
alpha
:Object of class "numeric"
rho
:Object of class "numeric"
acrate
:Object of class "numeric"
probrx
:Object of class "numeric"
numreps
:Object of class "integer"
numobs
:Object of class "matrix"
timept
:Object of class "array"
deaths
:Object of class "array"
testname
:Object of class "character"
power
:Object of class "array"
beta
:Object of class "matrix"
indac
:Vector of objects of class "integer"
indfu
:Vector of objects of class "integer"
printflag
:Object of class "integer"
signature(object = "CureRate")
Emil A. Cornea, Bahjat F. Qaqish, and Joseph G. Ibrahim
Maintainer: Emil A. Cornea <ecornea@live.unc.edu>
curerate
, show-methods
, showcr
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | showClass("CureRate")
## Input Data
###############
# rho - specifies the value of rho in the G-rho test (Harrington and Fleming, 1982).
# rho = 0 gives the logrank test, and rho = 1 the Peto-Peto Wilcoxon test
#(and rho = -1 the test discussed by Gray and Tsiatis, 1989).
rho = 0
numreps = 500
##cureobs - probability of cure on the observation arm of the study
cureobs = .359
##curerx - probability of cure on the treatment arm of the study
curerx = .459
##medobs - median survival among the non-cured on observation
medobs = .747
##medrx - median survival among the non-cured on treatment
medrx = .859
##acrate - rate at which patients accrue, combined over both
##observation and treatment arms of the study
acrate = 232
##probrx - probability of assignment to the treatment arm
probrx = .5
##actime - accrual duration
actime = c(3.3, 3.5, 3.8);
##futime - followup duration
futime = c(2.0, 2.5)
##info - vector of information times for the interim looks
##must be an increasing sequence in (0,1]
info = c( .35, .61, .86, 1.0)
##crits - vector of critical values corresponding to the
##interim analysis time points specified in info
crits = c(3.6128, 2.6506, 2.1894, 2.0536)
##############################################################
### Log-rank test: rho=0 (default)
mycr<-curerate(rho ,numreps,cureobs,curerx,medobs,medrx,acrate,
probrx,actime,futime,info,crits)
mycr ### (*)
show(mycr) ### same as above
showcr(mycr) ### same as above
unclass(mycr)
showcr(mycr,full.results=TRUE)
showcr(mycr,indac=3,indfu=1)
|
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