Generalized linear model for mids object
Applies glm() to a multiply imputed data set
glm.mids(formula, family = gaussian, data, ...)
formula |
a formula expression as for other regression models, of the
form response ~ predictors. See the documentation of |
family |
The family of the glm model |
data |
An object of type |
... |
Additional parameters passed to |
This function is included for backward compatibility with V1.0. The function
is superseded by with.mids.
An objects of class mira, which stands for 'multiply imputed
repeated analysis'. This object contains data$m distinct
glm.objects, plus some descriptive information.
Stef van Buuren, Karin Groothuis-Oudshoorn, 2000
Van Buuren, S., Groothuis-Oudshoorn, C.G.M. (2000) Multivariate Imputation by Chained Equations: MICE V1.0 User's manual. Leiden: TNO Quality of Life.
imp <- mice(nhanes) # logistic regression on the imputed data fit <- glm.mids((hyp == 2) ~ bmi + chl, data = imp, family = binomial) fit
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