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A comparison of non-homogeneous Markov regression models with application to Alzheimer’s disease progression
Markov regression models are useful tools for estimating the impact of risk factors on rates of transition between multiple disease states. Alzheimer’s disease (AD) is an example of a multi-state disease process in which great interest lies in identifying risk factors for transition. In this context...
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| Huvudupphovsmän: | , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2011
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3299197/ https://ncbi.nlm.nih.gov/pubmed/22419833 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/02664763.2010.547567 |
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