小鼠R

小鼠R,r,regression,imputation,r-mice,R,Regression,Imputation,R Mice,我最近更新了MICE软件包和一些以前的代码。。。 我不经常使用鼠标,所以如果您能给我一些建议,我将不胜感激 imputed_scabies_model <- with(coded_imputed_scabies,glm(impetigo_active~factor(scabies_infestation)+factor(gender)+factor(agegroups), family = binomial())) imputed\u scabies\u model查看帮助页面?鼠标::

我最近更新了MICE软件包和一些以前的代码。。。 我不经常使用鼠标,所以如果您能给我一些建议,我将不胜感激

imputed_scabies_model <- with(coded_imputed_scabies,glm(impetigo_active~factor(scabies_infestation)+factor(gender)+factor(agegroups), family = binomial()))

imputed\u scabies\u model查看帮助页面
?鼠标:::summary.mipo
:summary方法有参数
conf.int
(默认为FALSE)和
指数化
,因此您只需将这些参数添加到
summary()
调用中即可。非常感谢!
imputed_scabies_model_summary <- (summary(pool(imputed_scabies_model)))
imputed_scabies_model_OR <-exp(cbind(imputed_scabies_model_summary[,"est"],imputed_scabies_model_summary[,"lo 95"],imputed_scabies_model_summary[,"hi 95"]))
imputed_scabies_model_summary <- (cbind(imputed_scabies_model_OR,imputed_scabies_model_summary))
imputed_scabies_model <- with(coded_imputed_scabies,glm(impetigo_active~factor(scabies_infestation)+factor(gender)+factor(agegroups), family = binomial()))
imputed_scabies_model_summary <- (summary(pool(imputed_scabies_model)))