Thank you, Jon Peck. That's very good to know. Previously I had used the binary logistic regression that no longer seems to be available on the menu in my subscription. Can you tell me how to get this back? When I looked for add-ons, I only found the Firth Logistic Regression. Looking into it, there seemed to be some advantages with smaller samples like I am working with now. I'll try it with a scale variable instead of a dummy variable, and see what the results are. The results I had using the dummy variable as a scale variable seemed credible, but I don't understand the Firth version the way I do the regular version.
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Bettina Hansel
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Original Message:
Sent: Mon October 23, 2023 11:25 AM
From: Jon Peck
Subject: Binary logistic regression
If you run Firth logistic but choose regular (nonpenalized) maximum likelihood, you get the same answer as the built-in regular logistic regression. But the underlying R package used for Firth requires that the dependent variable be set to a scale measurement level whether regular or penalized likelihood. Otherwise it would come across to R as a factor rather than a numerical value.
It would be natural to think of the DV as nominal or categorical, but that just not how the R package works, and the answer with the DV as scale does give the right answer.
As far as I can recall, the behavior of Firth logistic has not changed.
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Original Message:
Sent: 10/22/2023 7:10:00 AM
From: Bettina Hansel
Subject: RE: Binary logistic regression
I had the same problem with the subscription. I did find that I could add on Firth Binary Logistic Regression. It's different but it does seem to produce usable results. I'm not sure when this subscription change came about, but now I am planning to research what the differences between the version we used to use and this one.
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Bettina Hansel
Original Message:
Sent: Wed August 09, 2023 09:35 PM
From: Ryosuke Sato
Subject: Binary logistic regression
Hello.
I just bought a license and tried to use binary logistic regression but there is no button under the regression.
if someone tells me how I can get the function, it would be greatly appreciated.
Sincerely,
Sato
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Ryosuke Sato
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