Hello,
[rephrasing and reposting of a previous question (that was not answered)
with new information]
I have a dataset of 371 observations.
When I run coxph with numeric variables it works fine.
However, when I try to add factor (categorical) variables it returns "Ran
out of iterations and the model did not converge"
Of note, when I restructure all factors to binary variables with dummy and
use glmnet-lasso the model converges.
Here are examples of the code and output (including summary description of
the variables):
> maxSTree.cox <- coxph (Surv(time,status)~Chemo_Simple, data=dataset)
Warning message:
In fitter(X, Y, strats, offset, init, control, weights = weights, :
Ran out of iterations and did not converge
> summary (dataset$Chemo_Simple)
Anthra_HDAC Anthra_Plus ArsenicAtra
ATRA ATRA_GO
0 163 2 12
0 2
ATRA_IDA Demeth_HistoneDAC Flu_HDAC Flu_HDAC_plus
HDAC_Clof HDAC_only
0 34 37 4
24 1
HDAC_Plus LowArac LowDAC_Clof MYLO_IL11
Phase1
4 8 30 5
5
SCT StdARAC_Anthra StdAraC_Plus Targeted
VNP40101M
0 0 0 13
23
HELP !!!!
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