Titlebook: Brain and Longevity; Caleb E. Finch,Jean-Marie Robine,Yves Christen Conference proceedings 2003 Springer-Verlag Berlin Heidelberg 2003 age

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Introduction to Machine Learning,association between cognitive function and survival are not well understood. Proposals attempting to explain why the association is observed focus on the role of health and diseases and on terminal decline. Poor health may affect both cognitive function and survival, and the association between cogn

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Model Evaluation and Selection,ponential trajectory above the age of 65 years (Preston 1986; Jorm et al. 1987), suggesting that by the age of around 98 years all surviving persons would have dementia. These models were based on meta-analyses of prevalence studies conducted before the 1990s, and most prevalence studies of that tim

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https://doi.org/10.1007/978-1-4842-7777-51990). In each country where data are available, death rates have been found to be higher in groups with lower occupational status, lower educational level, or lower income level (Kunst and Mackenbach 1994). However, the strength of the association between educational level and longevity is strongly

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https://doi.org/10.1007/978-3-031-33342-2ficates were obtained. Deaths certified as due to cancer were noted. The association between childhood IQ and survival was studied using Cox proportional hazards regression (Whalley and Deary 2001). People with higher childhood IQ scores tended to live longer. The association differed between the se