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aanother
2011 Jun 13
0
How to formulate an (effect-modifying) interaction with matching variable in a conditional logistic regression?
...$smoke=="yes")*dataset$age
multi2a.cl<-update(mult2.cl,.~.+ageNsmoke)
summary(multi2a.cl)
anova(mult2.cl,multi2a.cl)
# but suppose I had a model with race, then I'd have to
# define two variables
dataset$ageNblack<-as.numeric(dataset$race=="black")*dataset$age
dataset$ageNother<-as.numeric(dataset$race=="other")*dataset$age
multi3.cl<-update(mult.cl,.~.+race:age)
summary(multi3.cl)
anova(multi3.cl, mult.cl)
multi3.cl<-update(mult.cl,.~.+ageNblack+ageNother)
summary(multi3.cl)
anova(multi3.cl, mult.cl)
# even more unwieldy with factors as matching vari...