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Multivariate Test Power Approximations for Balanced Linear Mixed Models in Studies with Missing Data
Multilevel and longitudinal studies are frequently subject to missing data. For example, biomarker studies for oral cancer may involve multiple assays for each participant. Assays may fail, resulting in missing data values that can be assumed to be missing completely at random. Catellier and Muller...
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| Pubblicato in: | Stat Med |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4879605/ https://ncbi.nlm.nih.gov/pubmed/26603500 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.6811 |
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