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Mathematik, Informatik und Statistik - Open Access LMU - Teil 01/03 Podcast
The Classical Linear Regression Model with one Incomplete Binary Variable

The Classical Linear Regression Model with one Incomplete Binary Variable

Mathematik, Informatik und Statistik - Open Access LMU - Teil 01/03 vor 27 Jahren

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We present three different methods based on the conditional mean
imputation when binary explanatory variables are incomplete. Apart
from the single imputation and multiple imputation especially the
so-called pi imputation is presented as a new procedure. Seven
procedures are compared in a simulation experiment when missing
data are confined to one independent binary variable: complete case
analysis, zero order regression, categorical zero order regression,
pi imputation, single imputation, multiple imputation, modified
first order regression. After a brief theoretical description of
the simulation experiment, MSE-ratio, variance and bias are used to
illustrate differences within and between the approaches.