Dear all, I have obtained a model for my data set using gam function in mgcv library. The model is as follows:
Family : Binomial Link function : Logit RU ~ s(time, by = Status, bs = "ps") + Region*Status+ Gender*Status I have obtained the results. While presenting the results for Region and Gender, do I consider the model as usual logistic and estimate the ORS by exponentiating the coefficient estimate (and also for 95% CIs of ORs)? or is there any change in the calculation of OR? I have been searching for that and the thing I have found was related to model prediction and plotting of smooth terms. Thank you in advance, Kind Regards, Aysun ______________________________________________ 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.
