glm.mids {mice} | R Documentation |
Performs repeated glm on a multiply imputed data set
glm.mids(formula, data, ...)
formula |
a formula expression as for other regression models, of the form
response ~ predictors. See the documentation
of lm and formula for details. |
data |
An object of type mids , which stands for 'multiply imputed data set', typically
created by function mice() . |
... |
Additional parameters passed to glm . |
see glm
An objects of class mira
, which stands for 'multiply imputed repeated analysis'.
This object contains m glm.objects
, plus some descriptive information.
Stef van Buuren, Karin Oudshoorn, 2000
Van Buuren, S. & Oudshoorn, C.G.M. (2000). Multivariate Imputation by Chained Equations: MICE V1.0 User's manual. Report PG/VGZ/00.038, TNO Prevention and Health, Leiden.
data(nhanes) imp <- mice(nhanes) # do default multiple imputation on a numeric matrix glm.mids((hyp==2)~bmi+chl,data=imp) # fit # $call: # glm.mids(formula = (hyp == 2) ~ bmi + chl, data = imp) # # $call1: # mice(data = nhanes) # # $nmis: # age bmi hyp chl # 0 9 8 10 # # $analyses: # $analyses[[1]]: # Call: # glm(formula = formula, data = data.i) # # Coefficients: # (Intercept) bmi chl # -0.4746337 -0.01565534 0.005417846 # # Degrees of Freedom: 25 Total; 22 Residual # Residual Deviance: 2.323886 # # $analyses[[2]]: # Call: # glm(formula = formula, data = data.i) # # Coefficients: # (Intercept) bmi chl # -0.1184695 -0.02885779 0.006090282 # # Degrees of Freedom: 25 Total; 22 Residual # Residual Deviance: 3.647927 # # $analyses[[3]]: # Call: # glm(formula = formula, data = data.i) # # Coefficients: # (Intercept) bmi chl # -0.1503616 -0.003002851 0.002130091 # # Degrees of Freedom: 25 Total; 22 Residual # Residual Deviance: 3.799126 # # $analyses[[4]]: # Call: # glm(formula = formula, data = data.i) # # Coefficients: # (Intercept) bmi chl # 0.009442083 -0.0237619 0.004631881 # # Degrees of Freedom: 25 Total; 22 Residual # Residual Deviance: 3.874522 # # $analyses[[5]]: # Call: # glm(formula = formula, data = data.i) # # Coefficients: # (Intercept) bmi chl # 0.09932161 -0.02168292 0.003857599 # # Degrees of Freedom: 25 Total; 22 Residual # Residual Deviance: 4.025066 # # # > #