BFLCRM: A BAYESIAN FUNCTIONAL LINEAR COX REGRESSION MODEL FOR PREDICTING TIME TO CONVERSION TO ALZHEIMER’S DISEASE

The aim of this paper is to develop a Bayesian functional linear Cox regression model (BFLCRM) with both functional and scalar covariates. This new development is motivated by establishing the likelihood of conversion to Alzheimer’s disease (AD) in 346 patients with mild cognitive impairment (MCI) e...

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Bibliografiska uppgifter
I publikationen:Ann Appl Stat
Huvudupphovsmän: Lee, Eunjee, Zhu, Hongtu, Kong, Dehan, Wang, Yalin, Giovanello, Kelly Sullivan, Ibrahim, Joseph G
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2015
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Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC4756762/
https://ncbi.nlm.nih.gov/pubmed/26900412
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/15-AOAS879
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