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Exploring, handling, imputing and evaluating missing data in statistical analyses: a review of existing approaches. (Décrire, prendre en compte, imputer et évaluer LES valeurs manquantes dans LES études statistiques : une revue des approches existantes.) (French. English summary) Zbl 1406.62104

Summary: Missing data is strongly connected to statistics that is concerned with the collect and pre-processing of data. In this article, we review the different methods that can be used to diagnose and impute missing data. We also present approaches aiming at evaluating the impact of imputation on subsequent analyses. Finally, we describe available implementations, in R packages, of the presented methods.

MSC:

62N01 Censored data models
62-07 Data analysis (statistics) (MSC2010)
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