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    A new algorithm for predicting time to disease endpoints in Alzheimer's disease patients. 

    Albert, M; Blacker, D; Brandt, J; Kinosian, B; Razlighi, QR; Scarmeas, N; Stallard, Eric; ... (9 authors) (J Alzheimers Dis, 2014)
    BACKGROUND: The ability to predict the length of time to death and institutionalization has strong implications for Alzheimer's disease patients and caregivers, health policy, economics, and the design of intervention studies. ...
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    Age, gender, and cancer but not neurodegenerative and cardiovascular diseases strongly modulate systemic effect of the Apolipoprotein E4 allele on lifespan. 

    Arbeev, Konstantin; Arbeeva, L; Christensen, Kaare; Culminskaya, IV; Kulminski, Alexander; Province, MA; Schupf, N; ... (10 authors) (PLoS Genet, 2014-01)
    Enduring interest in the Apolipoprotein E (ApoE) polymorphism is ensured by its evolutionary-driven uniqueness in humans and its prominent role in geriatrics and gerontology. We use large samples of longitudinally followed ...
     

     

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    AuthorStallard, Eric (2)
    Yashin, Anatoli I (2)
    Albert, M (1)Arbeev, Konstantin (1)Arbeeva, L (1)Blacker, D (1)Brandt, J (1)Christensen, Kaare (1)Culminskaya, IV (1)Kinosian, B (1)... View MoreDate Issued
    2014 (2)
    TypeJournal article (2)Subject
    Aged (2)
    Aged, 80 and over (2)Female (2)
    Humans (2)
    Male (2)Age Factors (1)Algorithms (1)Alleles (1)Alzheimer Disease (1)Alzheimer's disease (1)... View MoreAffiliation of Duke Author(s)Center for Population Health & Aging (2)Duke (2)Duke Cancer Institute (2)Duke Population Research Center (2)Duke Population Research Institute (2)
    Institutes and Centers (2)
    Institutes and Provost's Academic Units (2)
    Sanford School of Public Policy (2)School of Medicine (2)Social Science Research Institute (2)... View More