Dear all,
I am using transcan to impute missing values (single imputation). I have
several dichotomous variables in my dataset, but when I try to impute
the missings sometimes values are imputed that were originally not in
the dataset. So, a variable with 2 values (severe weight loss or
no/limited weight loss) for example coded 0 and 1, shows 3 different
values after imputation (0, 1 and 2).
I have tried two options:
impfile <- transcan (~age + factor(dumgend) +factor(dumcomorb25_i) +
factor(dumwght) + factor(dumsmok)
I(lngtvextra) + eqd2t_i + factor(chemo)+ factor(stage),data=surv.df,
imputed=TRUE )
and this one (with categorical="dumwght")
impfile <- transcan (~age + factor(dumgend) +factor(dumcomorb25_i) +
factor(dumwght) + factor(dumsmok)
I(lngtvextra) + eqd2t_i + factor(chemo) + factor(stage),data=surv.df,
categorical=("dumwght"), imputed=TRUE )
Have can I handle this problem?
Thanks for your help.
Cary
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