Programming the statistical procedures from SAS

Sample Size for Logistic Regression Models: Proc Power

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Sample Size for Logistic Regression Models: Proc Power

I am not sure if this is the correct forum to post my question and apologize if this is incorrect. I am trying to come up with a methodology for finding the correct sample size given a power and confidence for parameter estimates or odds ratios. Would it be possible to use Proc Power for this? Most of my factors are categorical and it looks like the logisitc option under power requires either continuous or ordinal factors. Could I pretend my continuous factors are ordinal and get estimates from here? Would using the one-way or two-way frequency analysis be ok if I assume this is the sample size needed for the most important factors? Are there any other PROCs that I could use?
The only other options I know are from a 1998 paper by Hsieh, at el., which was referenced in Agriesti's book, as well as a power calculation for contingency tables covered in the same book. Are there any other references for this especially ones that use SAS PROCs?

Thanks
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