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Article

A framework for multiple imputation in cluster analysis.

American journal of epidemiology - 1 Apr 2013

Basagaña Xavier, Barrera-Gómez Jose, Benet Marta, Antó Josep M, Garcia-Aymerich Judith

Abstract excerpt

Multiple imputation is a common technique for dealing with missing values and is mostly applied in regression settings. Its application in cluster analysis problems, where the main objective is to classify individuals into homogenous groups, involves several difficulties which are not well characterized in the current literature. In this paper, we propose a framework for applying multiple imputation to cluster...

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PMID: 23445902
DOI: 10.1093/aje/kws289

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