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logistic logit(p)=βX exp(β)=odds ratio log binomial log(p)=βX exp(β)=risk ratio log binomialで予測確率 が1を超えてしまうことはないのか (後で読む) https://t.co/tx6v6srFsZ
logistic logit(p)=βX exp(β)=odds ratio log binomial log(p)=βX exp(β)=risk ratio log binomialで予測確率 が1を超えてしまうことはないのか (後で読む) https://t.co/tx6v6srFsZ
@lisabodnar Log-binomial seems to be pretty common in use in epidemiology: https://t.co/9UWWrvUONZ
@Mathbarra @andersskyrud Nå skjønner jeg, ikke den måten jeg er vant til å spesifisere modeller. Y~Binomial(n,p) log(p)=Σ betaX Se for øvrig her: https://t.co/kRWeu1O0yA