Handling missing data in modelling quality of clinician-prescribed routine care: Sensitivity analysis of departure from Missing at Random (MAR) assumption

Missing information is a major drawback in analysing data collected in many routine health care settings. Multiple imputation (MI) assuming a missing at random (MAR) mechanism is a popular method to handle missing data. The MAR assumption cannot be confirmed from the observed data alone, hence the n...

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Enregistré dans:
Détails bibliographiques
Publié dans:Stat Methods Med Res
Auteurs principaux: Gachau, Susan, Quartagno, Matteo, Njagi, Edmund Njeru, Owuor, Nelson, English, Mike, Ayieko, Philip
Format: Artigo
Langue:Inglês
Publié: 2020
Sujets:
Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7116368/
https://ncbi.nlm.nih.gov/pubmed/32390503
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280220918279
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