ANDA.crreg: Multiple Imputation using Asymptotic Normal Data Augmentation scheme (ANDA) for Competing risks regression model

Description

For internal use

Usage

ANDA.crreg(formula, data, imax = 25, k = 10, th0 = 1e-03,
status, trans, cens, keep, model = "FG")

Arguments

formula

a formula

data

a data frame

imax

maximum number of iteration

number of dataset generated at each iteration

th0

note used currently

status

name of the column were the status of observation is indicated

trans

what is the transition of interest in the status column

cens

code used for right censored data in the status column

keep

must be the same as the covariate used in formula

model

which model shall be used currently FG state for Fine and Gray proportional hazards regression model

Value

betaestimation of the coefficient(s)
sr_sigmaestimation of the standard errors
n_iternumber of iteration used
sigma1mean of standard errors not augmented for the between imputations composant of the variance

Details

This function is called by MIICD.crreg with option ANDA (Asymptotic Normal Data Augmentation)

References

Pan, W. (2000). A multiple imputation approach to cox regression with interval-censored data. Biometrics 56, 199-203. Rubin, D. B. (1987). Multiple imputation for nonresponse in surveys.

Schenker, N. and Welsh, A. (1988). Asymptotic results for multiple imputation. The Annals of Statistics pages 1550-1566.