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A Note on Handling Conditional Missing Values Publisher



Mansournia MA1 ; Nazemipour M1 ; Etminan M2
Authors
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Authors Affiliations
  1. 1. Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Department of Ophthalmology, Medicine and Pharmacology, University of British Columbia, Vancouver, Canada

Source: Global Epidemiology Published:2024


Abstract

In medical research, some variables are conditionally defined on some levels of another variable, leading to conditional missing data. Imputation of this type of structural missing data is needed given inefficiency of listwise deletion inherent in regression modeling. Using some examples, we illustrate handling of conditional missing values using simple imputation procedures in etiologic and prediction research. © 2024 The Authors
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