BinAugmentCifstrata: Augmentation for Binomial regression based on stratified...

In mets: Analysis of Multivariate Event Times

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.

Author(s)

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.