col.headings

column name which will contain the subject's treatment group

column name which will contain whether 
the subject has an event (1) or not(0)

has.event

time

column name of the time at which the subject would have been
censored had they not had an event before data cut off

DCO.time

column name of the logical column as to whether events should
be imputed

to.impute

column name of the column containing the reason for censoring,
0=had event, 1=non-administrative censoring 2=administrative censoring -- only subjects
with 1 in this column count as having an `event' in the Cox model for censoring 
(optionally used -- if not used then all subjects who are censored are used)

censor.type


Specify the columns of the data frame required by score imputation method


Multiple Imputation for Informative Censoring.
This package implements two methods. Gamma Imputation
from Jackson et al. (2014) <DOI:10.1002/sim.6274> and Risk Score Imputation
from Hsu et al. (2009) <DOI:10.1002/sim.3480>.

col.headings: Specify the columns of the data frame required by score imputation method

Description

Usage

Arguments

Value