在多个估算数据集上应用匹配后。如何在最终模型中设置分类变量的参考水平。例如,如何将 KOA 的参考级别设置为 1 而不是 0 ?谢谢
library(MatchThem)
data("osteoarthritis")
library(mice)
imputed.datasets <- mice(osteoarthritis, m = 5)
table(imputed.datasets$data$OSP)
table(imputed.datasets$data$KOA)
matched.datasets <- matchthem(OSP ~ AGE + SEX + BMI + RAC + SMK,
datasets = imputed.datasets,
approach = 'within',
method = 'nearest',
caliper = 0.05,
ratio = 2)
library(survey)
matched.models <- with(matched.datasets,
svyglm(KOA ~ OSP, family = quasibinomial()),
cluster = TRUE)
你可以直接做出结果
KOA == 0
,例如,
svyglm(KOA == 0 ~ OSP, family = quasibinomial())
请注意,这实际上与匹配或多重插补没有任何关系。