[R] Cox model -missing data.
aoife.m.doherty at gmail.com
Fri Dec 19 11:12:00 CET 2014
I have a data set like this:
V1 V2 V3 Survival Event
ann 13 WTHomo 4 1
ben 20 * 5 1
tom 40 Variant 6 1
where "*" indicates that I don't know what the value is for V3 for Ben.
I've set up a Cox model to run like this:
death.dat <- read.table("Test.cox",header=T)
Model <- coxme(Surv(Survival,Event)~ strata(factor(V1)) +
strata(factor(V2)) + factor(V3)) +
As you can see from the Test.cox file, I have a missing value "*". How and
where do I tell the R script "treat * as a missing variable". If I can't
incorporate missing values into the model, I assume the alternative is to
remove all of the rows with missing data, which will greatly reduce my data
set, as most rows have at least one missing variable.
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