68 citations · 69 across the 3 of their papers we have counts for
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stat.ME2025
Imputing With Predictive Mean Matching Can Be Severely Biased When Values Are Missing At Random
Paul T. von Hippel
Predictive mean matching (PMM) is a popular imputation strategy that imputes missing values by borrowing observed values from other cases with similar expectations. We show that, u…
stat.ME2017★ 68 cited
Should a Normal Imputation Model Be Modified to Impute Skewed Variables?
Paul T. von Hippel
Researchers often impute continuous variables under an assumption of normality, yet many incomplete variables are skewed. We find that imputing skewed continuous variables under a…
stat.ME2012★ 1 cited
Estimation with Binned Data
Paul T. von Hippel, Igor Holas, Samuel V. Scarpino
Variables such as household income are sometimes binned, so that we only know how many households fall in each of several bins such as 10,000-15,000, or $200,000+. We p…