| iid.prodlim {BuyseTest} | R Documentation |
Extract i.i.d. decomposition from a prodlim model
Description
Compute the influence function for each observation used to estimate the model
Usage
## S3 method for class 'prodlim'
iid(x, add0 = FALSE, ...)
Arguments
x |
A prodlim object. |
add0 |
[logical] add the 0 to vector of relevant times. |
... |
not used. For compatibility with the generic method. |
Details
This function is a simplified version of the iidCox function of the riskRegression package. Formula for the influence function can be found in (Ozenne et al., 2017).
Value
A list containing:
IFbeta: Influence function for the regression coefficient.
IFhazard: Time differential of the influence function of the hazard.
IFcumhazard: Influence function of the cumulative hazard.
time: Times at which the influence function has been evaluated.
etime.max: Last observation time (i.e. jump or censoring) in each strata.
label.strata: Strata to which each observation belong.
X: Design matrix.
table: Hazard at each time for each strata.
Author(s)
Brice Ozenne
References
Brice Ozenne, Anne Lyngholm Sorensen, Thomas Scheike, Christian Torp-Pedersen and Thomas Alexander Gerds. riskRegression: Predicting the Risk of an Event using Cox Regression Models. The R Journal (2017) 9:2, pages 440-460.
Examples
library(data.table)
library(prodlim)
set.seed(10)
dt <- simBuyseTest(10)
setkeyv(dt, "treatment")
e.KM <- prodlim(Hist(eventtime,status)~treatment, data = dt)
lava::iid(e.KM)