Α Markov model for longitudinal studies with incomplete dichotomous outcomes

Missing outcome data constitute a serious threat to the validity and precision of inferences from randomized controlled trials. In this paper, we propose the use of a multistate Markov model for the analysis of incomplete individual patient data for a dichotomous outcome reported over a period of ti...

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Detalles Bibliográficos
Autores principales: Efthimiou, Orestis, Welton, Nicky, Samara, Myrto, Leucht, Stefan, Salanti, Georgia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Main Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5363348/
https://www.ncbi.nlm.nih.gov/pubmed/27917593
http://dx.doi.org/10.1002/pst.1794

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5363348/
https://www.ncbi.nlm.nih.gov/pubmed/27917593
http://dx.doi.org/10.1002/pst.1794

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