windows Vista R 2.10.1 Is it possible to get p values from gee? Summary(geemodel) does not appear to produce p values.:
> fit4<- gee(y~time, id=Subject, data=data.frame(data)) Beginning Cgee S-function, @(#) geeformula.q 4.13 98/01/27 running glm to get initial regression estimate (Intercept) time 1.1215614 0.8504413 > summary(fit4) GEE: GENERALIZED LINEAR MODELS FOR DEPENDENT DATA gee S-function, version 4.13 modified 98/01/27 (1998) Model: Link: Identity Variance to Mean Relation: Gaussian Correlation Structure: Independent Call: gee(formula = y ~ time, id = Subject, data = data.frame(data)) Summary of Residuals: Min 1Q Median 3Q Max -2.5224390768 -1.4384989365 -0.0006304408 1.4385426203 2.5229173416 Coefficients: Estimate Naive S.E. Naive z Robust S.E. Robust z (Intercept) 1.1215614 0.8023886 1.397778 0.31918831 3.513792 time 0.8504413 0.0993967 8.556031 0.03851821 22.078938 Estimated Scale Parameter: 2.642821 Number of Iterations: 1 Working Correlation [,1] [,2] [,3] [1,] 1 0 0 [2,] 0 1 0 [3,] 0 0 1 John David Sorkin M.D., Ph.D. Chief, Biostatistics and Informatics University of Maryland School of Medicine Division of Gerontology Baltimore VA Medical Center 10 North Greene Street GRECC (BT/18/GR) Baltimore, MD 21201-1524 (Phone) 410-605-7119 (Fax) 410-605-7913 (Please call phone number above prior to faxing) Confidentiality Statement: This email message, including any attachments, is for th...{{dropped:6}} ______________________________________________ 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.