Description Usage Arguments Details Value Author(s) References Examples
This function is used to obtain nonparametric estimates of the sojourn probabilities in the illnessdeath model.
1 2 3 
formula 
A 
data 
A data.frame including at least four columns named

conf 
Provides pointwise confidence bands. Defaults to 
n.boot 
The number of bootstrap replicates to compute the variance of the nonMarkovian estimator. Default is 199. 
conf.level 
Level of confidence. Defaults to 0.95 (corresponding to 95%). 
z.value 
The value of the covariate on the right hand side of formula at which the sojourn probabilities are computed. For quantitative covariates, i.e. of class integer and numeric. 
bw 
A single numeric value to compute a kernel density bandwidth.
Use 
window 
A character string specifying the desired kernel.
See details below for possible options. Defaults to 
method.weights 
A character string specifying the desired weights method.
Possible options are 
method 
The method used to compute the sojourn estimates.
Possible options are 
presmooth 
 A logical value. If 
cluster 
A logical value. If 
ncores 
An integer value specifying the number of cores to be used in
the parallelized procedure. If #' 
Possible options for argument window are "gaussian"
,
"epanechnikov"
, "tricube"
, "boxcar"
,
"triangular"
, "quartic"
or "cosine"
.
An object of class "survIDM"
and one of the following
two classes: "soj"
(Sojourn Time Distribution), and
"sojIPCW"
(Inverse Probability of Censoring Weighting for the Sojourn Time Distribution). Objects are implemented as a list with elements:
est 
data.frame with estimates of the sojourn probabilities. 
CI 
data.frame with the confidence intervals of the sojourn probabilities. 
conf.level 
Level of confidence. 
t 
The time for obtaining the estimates of sojourn probabilities. 
conf 
logical; if 
callp 
The expression of the estimated probability. 
Nlevels 
The number of levels of the covariate. Provides important information when the covariate at the right hand side of formula is of class factor. 
levels 
The levels of the qualitative covariate (if it is of class factor) on the right hand side of formula. 
formula 
A formula object. 
call 
A call object. 
Luis MeiraMachado, Marta Sestelo and Gustavo Soutinho.
Satten, G.A. and Datta, S. (2002) Marginal estimation for multistage models: waiting time distributions and competing risks analyses. Statistics in Medicine, 21, 3–19.
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  res < sojourn(survIDM(time1, event1, Stime, event) ~ 1,
data = colonIDM, conf = FALSE, conf.level = 0.95)
res
summary(res, time=365*1:6)
plot(res)
res1 < sojourn(survIDM(time1, event1, Stime, event) ~ 1,
data = colonIDM, conf = FALSE, conf.level = 0.95, method = "LM",
presmooth = TRUE)
res1
summary(res1, time=365*1:6)
plot(res1)
# not run:
#res2 < sojourn(survIDM(time1, event1, Stime, event) ~ 1,
#data = colonIDM, conf = FALSE, conf.level = 0.95, method = "SattenDatta")
#res2
# with a factor
res3 < sojourn(survIDM(time1, event1, Stime, event) ~ factor(sex),
data = colonIDM, conf = FALSE, conf.level = 0.95)
res3
summary(res3, time=365*1:6)
plot(res3)
# with a qualitative covariate
res4 < sojourn(survIDM(time1, event1, Stime, event) ~ age, data = colonIDM,
z.value = 56, conf = FALSE, conf.level = 0.95)
res4
summary(res4, time=365*1:6)
plot(res4)

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