Em Qua, 2008-08-20 às 23:54 -0700, Madhavi Bhave escreveu: Hi Madhavi,
> Hi ! > > This is Madhavi from Mumbai, India. Incidently this is my first post. You are wellcome! > > I am working on Credit Scoring Model and using R, I have run the logistic > regression. I have received following Output. > > I have two questions > > (a) What is the significance of "family = binomial(link = logit)". Why do I > have to mention Binomial? Is it because my dependent variable assumes only > two values 0 and 1? Can I write name of some other Statistical distribution > (say Poisson or Negative Binomial) in place of Binomial? How will it affect > my results? Well the logistitc regression is a generalized linear model. Your specification is just "binomial" function with "logit" link function so "summary" mention this especification ... The binomial model is choose because your data have a thorical binomial distribution (two type of outcome wtih fix probabilty of outcome and independent observations) For ohert distribuitions existing other links functions see more details in: ?family > > (b) How do I interpret the "R" result as given below? I know all the > variables are significant. How do I get Log Likelihood ratio, Odds ratio etc.? well odds ratio: model<- glm (formula,family=binomial) exp(coef(model)) Log Likehood model$deviance -- Bernardo Rangel Tura, M.D,MPH,Ph.D National Institute of Cardiology Brazil ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
