2011/7/21 Abdullah OUESLATI abouesl...@gmail.com:
quote author=Göran Broström
[...]
I do not understand why you expect to get comparable results with SAS
discrete and coxph exact. They are two different approaches to
handling ties (as Terry explained; of course, some comparability
should be
quote author=Göran Broström
[...]
I do not understand why you expect to get comparable results with SAS
discrete and coxph exact. They are two different approaches to
handling ties (as Terry explained; of course, some comparability
should be expected in normal cases).
[...]
/quote
I didn't know
Let me expand a bit on Thomas's answer.
Looking more closely at your data set you have the following:
death time group 0group 1
1.5 0/413/13
3 0/4 5/5
8 4/4 0
At time 1.5 group 1 had 13 deaths out of
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for the memory
configuration of your computer.
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that the results obtained by
SAS are reliable in such cases ?
Thank you for your answer.
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On Wed, Jul 20, 2011 at 5:42 AM, AO_Statistics abouesl...@gmail.com wrote:
Terry Therneau-2 wrote:
This query of why do SAS and S give different answers for Cox models
comes
up every so often. The two most common reasons are that
a. they are using different options for the ties
This query of why do SAS and S give different answers for Cox models comes
up every so often. The two most common reasons are that
a. they are using different options for the ties
b. the SAS and S data sets are slightly different.
You have both errors.
First, make sure I have
Thank you so much, this was very helpful.
Svetlana
Terry Therneau wrote:
This query of why do SAS and S give different answers for Cox models comes
up every so often. The two most common reasons are that
a. they are using different options for the ties
b. the SAS and S
Dear R-help,
I was comparing SAS (I do not know what version it is) and R (version
2.6.0 (2007-10-03) on Linux) survival analyses with time-dependent
covariates. The results differed significantly so I tried to understand
on a short example where I went wrong. The following example shows that
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