Missing data in longitudinal studies: Comparison of multiple imputation methods in a real clinical setting

Rationale, aims, and objectives Missing data represent a challenge in longitudinal studies. The aim of the study is to compare the performance of the multivariate normal imputation and the fully conditional specification methods, using real data set with missing data partially completed 2 years late...

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Veröffentlicht in:	Journal of evaluation in clinical practice 2021-02, Vol.27 (1), p.34-41
Hauptverfasser:	Rosato, Rosalba, Pagano, Eva, Testa, Silvia, Zola, Paolo, di Cuonzo, Daniela
Format:	Artikel
Sprache:	eng
Schlagworte:	Data collection fully conditional specification Humans Longitudinal Studies Medical research Missing data Multivariate analysis multivariate normal imputation quality of life Research Design Research methodology
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