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Investigating the missing data mechanism in quality of life outcomes: a comparison of approaches
BACKGROUND: Missing data is classified as missing completely at random (MCAR), missing at random (MAR) or missing not at random (MNAR). Knowing the mechanism is useful in identifying the most appropriate analysis. The first aim was to compare different methods for identifying this missing data mecha...
Autores principales: | Fielding, Shona, Fayers, Peter M, Ramsay, Craig R |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2711047/ https://www.ncbi.nlm.nih.gov/pubmed/19545408 http://dx.doi.org/10.1186/1477-7525-7-57 |
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