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What impact do assumptions about missing data have on conclusions? A practical sensitivity analysis for a cancer survival registry

BACKGROUND: Within epidemiological and clinical research, missing data are a common issue and often over looked in publications. When the issue of missing observations is addressed it is usually assumed that the missing data are ‘missing at random’ (MAR). This assumption should be checked for plausi...

詳細記述

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書誌詳細
出版年:BMC Med Res Methodol
主要な著者: Smuk, M., Carpenter, J. R., Morris, T. P.
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2017
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5294884/
https://ncbi.nlm.nih.gov/pubmed/28166735
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-017-0301-0
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