Dear Community,
I am wondering if SAS has similar approximation procedure when fits the conditional logistic regression as R does?
I.e. In R, there is an option to specify likelihood approximation method as "efron" or "breslow".
I don't think PROC LOGISTIC has this option.
Thank you!
There are several proc that perform logistic regression, PROC GLM and PHREG are others.
This may be what you're looking for:
http://support.sas.com/documentation/cdl/en/statug/68162/HTML/default/viewer.htm#statug_phreg_exampl...
It is true that proc logistic can not make the Breslow or Efron approximation. But, construction af variable "dummytime" with values 1 for cases and 0 for controls, and analyze this as survival analysis is equivalent to conditional logistic regression when using the option ties=discrete in PROC PHREG. If, instead, the option ties=breslow (default) or ties=efron is used, then you have the approximation.
I assume it should be the same as
model dummytime*Y(0)/ties=discrete
given that Y is binary with value 1 and 0?
Yes, that wil work also. If those with dummytime=2 is the same as those with Y=0, then
model dummytime*Y(0)/ties=discrete
is equivalent to
model dummytime*dummytime(2)/ties=discrete
given of course that the rest has dummytime=1.
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