I am using the coxph() function (from the 'survival' package) for a data
set that requires one of the covariates to be treated as time-dependent.
The issue is with this data set is there are some covariate values that are
missing at the time point when the event occurs.
For example:
Person A:
Day time-dependent covariate deathday status
1 34 6
0
2 47 6
0
3 78 6
0
4 29 6
0
5 NA 6
0
6 NA 6
1
R throws out this event due to the missing time-dependent covariate at day
6. Is there a way I can keep this event without filling in a covariate
value at day 6?
-Phil
[[alternative HTML version deleted]]
On Jan 13, 2014, at 10:50 AM, Phil Stevenson wrote:> I am using the coxph() function (from the 'survival' package) for a data > set that requires one of the covariates to be treated as time-dependent. > The issue is with this data set is there are some covariate values that are > missing at the time point when the event occurs. > > For example: > > Person A: > > Day time-dependent covariate deathday status > > 1 34 6 > 0 > > 2 47 6 > 0 > > 3 78 6 > 0 > > 4 29 6 > 0 > > 5 NA 6 > 0 > > 6 NA 6 > 1 > > > > R throws out this event due to the missing time-dependent covariate at day > 6. Is there a way I can keep this event without filling in a covariate > value at day 6? >What is your expectation concerning what _should_ happen?> [[alternative HTML version deleted]]-- David Winsemius Alameda, CA, USA