Hi all, I have done a backward stepwise selection on a full binomial GLM where the response variable is gender. At the end of the selection I have found one model with only one explanatory variable (cohort, factor variable with 10 levels).
I want to test the significance of the variable "cohort" that, I believe, is the same as the significance of this selected model: > anova(mod4,update(mod4,~.-cohort),test="Chisq") Analysis of Deviance Table Model 1: site ~ cohort Model 2: site ~ 1 Resid. Df Resid. Dev Df Deviance P(>|Chi|) 1 993 1283.7 2 1002 1368.2 -9 -84.554 2.002e-14 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 My question is: When I report this result, I would say /"cohorts were unevenly distributed between sites ( Chi2=84.5, df=9, p < 0.001)"/, is that correct? is the Chi2 value the difference of deviance between model with cohort effect and null model? -- View this message in context: http://r.789695.n4.nabble.com/Chi-square-value-of-anova-binomialglmnull-binomglmmod-test-Chisq-tp4632293.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
