Displaying 1 result from an estimated 1 matches for "propensityscores".
2012 Dec 08
1
imputation in mice
...nearest",
m.order="largest", caliper = 0.10)
3. Just calculating the propensity scores using the glm function:
ps.model = glm(assignment~totalexp +
yrschool+new+cert+age+STratio+percminority+urbanicity+povproblem+numthreats+numbattack,
family = "binomial", data = data)
data$propensityscores = fitted(ps.model)
In each case, I have tried running the code after having performed zero
imputations, 1 imputation, and 5 imputations. A colleague looked at my
code and assured me that I was doing the imputations correctly. However,
even after performing the imputation, one of the continuous v...