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Multiple imputation methods for handling missing values in a longitudinal categorical variable with restrictions on transitions over time: a simulation study

BACKGROUND: Longitudinal categorical variables are sometimes restricted in terms of how individuals transition between categories over time. For example, with a time-dependent measure of smoking categorised as never-smoker, ex-smoker, and current-smoker, current-smokers or ex-smokers cannot transiti...

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書誌詳細
出版年:BMC Med Res Methodol
主要な著者: De Silva, Anurika Priyanjali, Moreno-Betancur, Margarita, De Livera, Alysha Madhu, Lee, Katherine Jane, Simpson, Julie Anne
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6329074/
https://ncbi.nlm.nih.gov/pubmed/30630434
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-018-0653-0
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