Providing a thorough and extensive theoretical framework, The Biostatistics of Aging: From Gompertzian Mortality to an Index of Aging-Relatedness addresses the surprisingly subtlenotion—with consequential biomedical and public health relevance—of what it means for acondition to be related to aging. In this pursuit, the book presents a new quantitative methodto examine the relative contributions of genetic and environmental factors to mortality anddisease incidence in a population.

With input from evolutionary biology, population genetics, demography, and epidemiology, this medically motivated book describes an index of aging-relatedness and also features:

• Original results on the asymptotic behavior of the minimum of time-to-event random variables, which extends those of the classical statistical theory of extreme values
• A comprehensive and satisfactory explanation based on biological principles of the Gompertz pattern of mortality in human populations
• The development of an evolution-based model of causation relevant to mortality and aging-related diseases of complex etiology
• An explanation of how and why the description of human mortality by the Gompertz distribution can be improved upon from first principles
• The amply illustrated analysis of real-world data, including a program for conducting the analysis written in the freely available R statistical software
• Technical appendices including mathematical material as well as an extensive and multidisciplinary bibliography on aging and aging-related diseases

The Biostatistics of Aging: From Gompertzian Mortality to an Index of Aging-Relatedness is an excellent resource for practitioners and researchers with an interest in aging and aging-related diseases from the fields of medicine, biology, gerontology, biostatistics, epidemiology, demography, and public health.