Hi, everybody
On Wed, Sep 8, 2010 at 5:43 PM, Min-Han Tan minhan.scie...@gmail.com wrote:
David said my R code text attachment got rejected by the mailing list.
Pooh. I don't think that's nice. I don't see anything in the
posting guide about a limit on text attachments.
Well, if you are
On Wed, 8 Sep 2010, Paul Johnson wrote:
run it with factor() instead of ordered(). You don't want the
orthogonal polynomial contrasts that result from ordered if you need
to compare against Stata.
If you don't want polynomial contrasts for ordered factors, you can just tell R
not to use
Dear R-help members,
Apologies - I am posting on behalf of a colleague, who is a little puzzled
as STATA and R seem to be yielding different survival estimates for the same
dataset when treating a variable as ordinal. Ordered() is used to represent
an ordinal variable) I understand that R's
On Sep 8, 2010, at 6:43 PM, Min-Han Tan wrote:
Dear R-help members,
Apologies - I am posting on behalf of a colleague, who is a little
puzzled
as STATA and R seem to be yielding different survival estimates for
the same
dataset when treating a variable as ordinal. Ordered() is used to
run it with factor() instead of ordered(). You don't want the
orthogonal polynomial contrasts that result from ordered if you need
to compare against Stata.
I attach an R program that I wrote to explore ordered factors a while
agol I believe this will clear everything up if you study the
I look at this question in a different angle. My understanding is:
1. If treat tumor_grade as a numerical variable, you assume the hazard ratio
is invariant between any two adjacent levels of the tumor grade (assuming
invariant covariate patterns of other risks);
2. If you treat the tumor_grade
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