Scholarly Works - Book sections
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January 1, 2016
Longitudinal data play a pivotal role in discovering different aspects of knowledge related to aging, health, and longevity. There are many statistical methods for the analysis of longitudinal data, which is one of the most prolific areas of statistical sc ...
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January 1, 2016
Life expectancy in humans worldwide has been experiencing dramatic increases for the past two centuries (Oeppen and Vaupel 2002). In most countries, the extension of lifespan is associated with a transition from a long historical period of high fertility a ...
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January 1, 2016
It is well known from epidemiological research that values of indices describing physiological states at a given age may influence human morbidity and mortality risks. Studies of the connections between aging and life span suggest that the dynamic properti ...
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January 1, 2016
Various approaches to statistical model building and data analysis that incorporate unobserved heterogeneity are ubiquitous in different scientific disciplines. Frailty models introduce the concept of unobserved or hidden heterogeneity in survival analysis ...
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January 1, 2016
A better understanding of relationships among human aging, health, and longevity requires integrative statistical methods capable of taking into account relevant knowledge accumulated in the field when extracting useful information from the data. In this c ...
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January 1, 2016
Demographic calculations evaluating the role of chronic diseases in life expectancy use the assumption that diseases are independent. Disease independence was a plausible hypothesis in the era of infectious diseases. However, the health problems of modern ...
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January 1, 2016
Longitudinal data on aging, health, and longevity provide researchers with a unique opportunity to observe aging-related changes in biomarkers that describe the functioning of individual organisms during people’s life courses. In this chapter, empirical es ...
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January 1, 2016
The modern era of revolutionary advances in genetics provides great opportunities and challenges for the field of biodemography. We discuss approaches to work with the rich data available in modern longitudinal studies of aging, health, and longevity that ...
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January 1, 2016
In a number of longitudinal studies, individual health and physiological/biological variables are repeatedly measured for a relatively large number of study subjects. Such data have good potential for evaluating properties of dynamic mechanisms involved in ...
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January 1, 2016
Mortality rates are important characteristics of life span distributions that integrate the influences of many external and internal factors affecting individuals in the population during their life course. These include the ontogenetic program, individual ...
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January 1, 2016
The tremendous research potential of U.S. Medicare data for evaluation of current, and forecasting of future, patterns of aging-related diseases among older U.S. adults remains largely unexplored. In this chapter, we present and discuss the results of a se ...
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January 1, 2016
Aging-related deterioration in health impacts an important economic component: the medical costs associated with disease diagnosis and treatment. Because almost all U.S. residents aged 65+ years old are covered by the Medicare system, prediction of future ...
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January 1, 2016
Cancer incidence rates for all disease sites combined and life expectancy have increased over time in many countries around the world. These increases were concurrent with economic progress and the spread of the Western lifestyle. Overall cancer risk and l ...
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January 1, 2013
Age trajectories of mortality rates in human populations characterize individuals’ inequality in the duration of life. Various models of mortality rates are used in the analyses of survival data in demographic and epidemiological applications aiming to ide ...
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https://orcid.org/0000-0002-4195-7832