Predictive mean matching
id:
predictive-mean-matching-292-9883386
title:
Predictive mean matching
text:
Predictive mean matching (PMM) is a widely used statistical imputation method for missing values, first proposed by Donald B. Rubin in 1986 and R. J. A. Little in 1988. It aims to reduce the bias introduced in a dataset through imputation, by drawing real values sampled from the data. This is achieved by building a small subset of observations where the outcome variable matches the outcome of the observations with missing values. Compared to other imputation methods, it usually imputes less impl
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Predictive_mean_matching
date created:
date modified:
2021-10-29T19:52:53Z
main entity:
{"identifier":"Q65052845","url":"https://www.wikidata.org/entity/Q65052845"}
image:
fields total:
13
integrity:
13