Dear can y,
At 03:04 PM 6/4/2003 +0300, orkun wrote:
[previous messages deleted]
Dear Mr. Fox
thank you very much all.
Because of related to your answer. I ask you directly if you don't mind
I studied several ways after my email.
I wonder whether pgeo-predict.glm(glm.ob,type=terms)
gives
Ahmet -
In a logistic regression model, fitted probabilities make
sense for individual cases (rows in the data set), as well
as for future cases (predictions) for which no outcome
(success or failure) has been observed yet. Fitted
probabilities are calculated from the matrix formula:
Dear Ahmet,
Sorry for the slow response, but I've been busy all today, coincidentally
teaching a workshop on logistic regression.
Tom Blackwell sent you a useful suggestion for interpreting coefficients on
the odds scale. If you want to trace out the partial relationship of the
fitted
Hello
in logistic regression,
I want to know that it is possible to get probability values of each
predictors by
using following formula for each predictor one by one (keeping constant
the others)
exp(coef)/(1+exp(coef))
thanks in advance
Ahmet Temiz
__
At 11:54 AM 6/3/2003 +0300, orkun wrote:
in logistic regression,
I want to know that it is possible to get probability values of each
predictors by
using following formula for each predictor one by one (keeping constant
the others)
exp(coef)/(1+exp(coef))
Dear Ahmet,
This will almost surely
John Fox wrote:
At 11:54 AM 6/3/2003 +0300, orkun wrote:
in logistic regression,
I want to know that it is possible to get probability values of each
predictors by
using following formula for each predictor one by one (keeping
constant the others)
exp(coef)/(1+exp(coef))
Dear Ahmet,
This
