BinAugmentCifstrata: Augmentation for Binomial regression based on stratified... In mets: Analysis of Multivariate Event Times

 BinAugmentCifstrata R Documentation

Augmentation for Binomial regression based on stratified NPMLE Cif (Aalen-Johansen)

Description

Computes the augmentation term for each individual as well as the sum

A = \int_0^t H(u,X) \frac{1}{S^*(u,s)} \frac{1}{G_c(u)} dM_c(u)

with

H(u,X) = F_1^*(t,s) - F_1^*(u,s)

using a KM for

G_c(t)

and a working model for cumulative baseline related to

F_1^*(t,s)

and

s

is strata,

S^*(t,s) = 1 - F_1^*(t,s) - F_2^*(t,s)

.

Usage

BinAugmentCifstrata(
formula,
data = data,
cause = 1,
cens.code = 0,
km = TRUE,
time = NULL,
weights = NULL,
offset = NULL,
...
)


Arguments

 formula formula with 'Event', strata model for CIF given by strata, and strataC specifies censoring strata data data frame cause of interest cens.code code of censoring km to use Kaplan-Meier time of interest weights weights for estimating equations offset offsets for logistic regression ... Additional arguments to binreg function.

Details

Standard errors computed under assumption of correct

G_c(s)

model.

Thomas Scheike

Examples

data(bmt)
dcut(bmt,breaks=2) <- ~age
out1<-BinAugmentCifstrata(Event(time,cause)~platelet+agecat.2+
strata(platelet,agecat.2),data=bmt,cause=1,time=40)
summary(out1)

out2<-BinAugmentCifstrata(Event(time,cause)~platelet+agecat.2+
strata(platelet,agecat.2)+strataC(platelet),data=bmt,cause=1,time=40)
summary(out2)


mets documentation built on Jan. 17, 2023, 5:12 p.m.