James W. Vaupel – författare

Biosocial Surveys analyzes the latest research on the increasing number of multipurpose household surveys that collect biological data along with the more familiar interviewer–respondent information. This book serves as a follow-up to the 2003 volume, Cells and Surveys: Should Biological Measures Be Included in Social Science Research? and asks these questions: What have the social sciences, especially demography, learned from those efforts and the greater interdisciplinary communication that has resulted from them? Which biological or genetic information has proven most useful to researchers? How can better models be developed to help integrate biological and social science information in ways that can broaden scientific understanding? This volume contains a collection of 17 papers by distinguished experts in demography, biology, economics, epidemiology, and survey methodology. It is an invaluable sourcebook for social and behavioral science researchers who are working with biosocial data.

Biosocial Surveys analyzes the latest research on the increasing number of multipurpose household surveys that collect biological data along with the more familiar interviewer–respondent information. This book serves as a follow-up to the 2003 volume, Cells and Surveys: Should Biological Measures Be Included in Social Science Research? and asks these questions: What have the social sciences, especially demography, learned from those efforts and the greater interdisciplinary communication that has resulted from them? Which biological or genetic information has proven most useful to researchers? How can better models be developed to help integrate biological and social science information in ways that can broaden scientific understanding? This volume contains a collection of 17 papers by distinguished experts in demography, biology, economics, epidemiology, and survey methodology. It is an invaluable sourcebook for social and behavioral science researchers who are working with biosocial data.

What can social science, and demography in particular, reasonably expect to learn from biological information? There is increasing pressure for multipurpose household surveys to collect biological data along with the more familiar interviewer-respondent information. Given that recent technical developments have made it more feasible to collect biological information in non-clinical settings, those who fund, design, and analyze survey data need to think through the rationale and potential consequences. This is a concern that transcends national boundaries. Cells and Surveys addresses issues such as which biologic/genetic data should be collected in order to be most useful to a range of social scientists and whether amassing biological data has unintended side effects. The book also takes a look at the various ethical and legal concerns that such data collection entails.

What can social science, and demography in particular, reasonably expect to learn from biological information? There is increasing pressure for multipurpose household surveys to collect biological data along with the more familiar interviewer-respondent information. Given that recent technical developments have made it more feasible to collect biological information in non-clinical settings, those who fund, design, and analyze survey data need to think through the rationale and potential consequences. This is a concern that transcends national boundaries. Cells and Surveys addresses issues such as which biologic/genetic data should be collected in order to be most useful to a range of social scientists and whether amassing biological data has unintended side effects. The book also takes a look at the various ethical and legal concerns that such data collection entails.

Paleodemography is the field of enquiry that attempts to identify demographic parameters from past populations (usually skeletal samples) derived from archaeological contexts, and then to make interpretations regarding the health and well-being of those populations. However, paleodemographic theory relies on several assumptions that cannot easily be validated by the researcher, and if incorrect, can lead to large errors or biases. In this book, physical anthropologists, mathematical demographers and statisticians tackle these methodological issues for reconstructing demographic structure for skeletal samples. Topics discussed include how skeletal morphology is linked to chronological age, assessment of age from the skeleton, demographic models of mortality and their interpretation, and biostatistical approaches to age structure estimation from archaeological samples. This work will be of immense importance to anyone interested in paleodemography, including biological and physical anthropologists, demographers, geographers, evolutionary biologists and statisticians.

How long can humans live? This open access book documents, verifies and brings to life the advance of the frontier of human survival. It carefully validates data on supercentenarians, aged 110+, and semi-supercentenarians, aged 105-109, stored in the International Database on Longevity (IDL). The chapters in this book contribute substantial advances in rigorously checked facts about exceptional lifespans and in the application of state-of-the-art analytical strategies to understand trends and patterns in these rare lifespans. The book includes detailed accounts of extreme long-livers and how their long lifespans were documented, as well as reports on the causes of death at the oldest ages. Its key finding, based on the analysis of 1,219 validated supercentenarians, is that the annual probability of death is constant at 50% after age 110. In contrast to previous assertions about a ceiling on the human lifespan, evidence presented in this book suggests that lifespan records in specific countries and globally will be broken again and again as more people survive to become supercentenarians. ​

This book visualizes mortality dynamics in the Lexis diagram. While the standard approach of plotting death rates is also covered, the focus in this book is on the depiction of rates of mortality improvement over age and time. This rather novel approach offers a more intuitive understanding of the underlying dynamics, enabling readers to better understand whether period- or cohort-effects were instrumental for the development of mortality in a particular country. Besides maps for single countries, the book includes maps on the dynamics of selected causes of death in the United States, such as cardiovascular diseases or lung cancer. The book also features maps for age-specific contributions to the change in life expectancy, for cancer survival and for seasonality in mortality for selected causes of death in the United States. The book is accompanied by instructions on how to use the freely available R Software to produce these types of surface maps. Readers are encouraged to use the presented tools to visualize other demographic data or any event that can be measured by age and calendar time, allowing them to adapt the methods to their respective research interests. The intended audience is anyone who is interested in visualizing data by age and calendar time; no specialist knowledge is required.This book is open access under a CC BY license.

This book visualizes mortality dynamics in the Lexis diagram. While the standard approach of plotting death rates is also covered, the focus in this book is on the depiction of rates of mortality improvement over age and time. This rather novel approach offers a more intuitive understanding of the underlying dynamics, enabling readers to better understand whether period- or cohort-effects were instrumental for the development of mortality in a particular country. Besides maps for single countries, the book includes maps on the dynamics of selected causes of death in the United States, such as cardiovascular diseases or lung cancer. The book also features maps for age-specific contributions to the change in life expectancy, for cancer survival and for seasonality in mortality for selected causes of death in the United States. The book is accompanied by instructions on how to use the freely available R Software to produce these types of surface maps. Readers are encouraged to use the presented tools to visualize other demographic data or any event that can be measured by age and calendar time, allowing them to adapt the methods to their respective research interests. The intended audience is anyone who is interested in visualizing data by age and calendar time; no specialist knowledge is required.This book is open access under a CC BY license.

How should life expectancy be calculated? More generally, how should life - bles be estimated? Since John Graunt's pioneering contribution, read before theRoyalSocietyofLondonat6p. m. onthe27thofFebruary1661,demog- phers have developed better and better methods. Some concerns were raised, including concerns about how to deal with heterogeneous populations p- lished in an article inDemography in 1979 that I wrote with Kenneth Manton and Eric Stallard. Yet, a few years ago nearly all demographers believed that as long as the underlying population and death counts were accurate, then lifetables could be reliably estimated. John Bongaarts and Gri? Feeney launched a revolutionary assault on this dogma. Two key contributions by them are reprinted in Part I of this mo- graph. Some very good demographers agreed, as least in part, with B- gaarts' and Feeney's radical argument that when death rates are changing, then tempo e?ects distort conventional calculations of life expectancy. Other very good demographers disagreed.So John Bongaarts and I brought some leading demographers together in a research meeting, co-sponsored by the Max Planck Institute for Demographic Research and the Population Co- cil and held in New York City on November 18 and 19, 2004. Many of the papers discussed at the workshop, generally after considerable revision, were published in Demographic Research in 2005 and 2006. Nine of these articles, in some cases somewhat revised, are published in this monograph: they are the ?rst seven chapters in Part II and the two chapters in Part III.

How should life expectancy be calculated? More generally, how should life - bles be estimated? Since John Graunt's pioneering contribution, read before theRoyalSocietyofLondonat6p. m. onthe27thofFebruary1661,demog- phers have developed better and better methods. Some concerns were raised, including concerns about how to deal with heterogeneous populations p- lished in an article inDemography in 1979 that I wrote with Kenneth Manton and Eric Stallard. Yet, a few years ago nearly all demographers believed that as long as the underlying population and death counts were accurate, then lifetables could be reliably estimated. John Bongaarts and Gri? Feeney launched a revolutionary assault on this dogma. Two key contributions by them are reprinted in Part I of this mo- graph. Some very good demographers agreed, as least in part, with B- gaarts' and Feeney's radical argument that when death rates are changing, then tempo e?ects distort conventional calculations of life expectancy. Other very good demographers disagreed.So John Bongaarts and I brought some leading demographers together in a research meeting, co-sponsored by the Max Planck Institute for Demographic Research and the Population Co- cil and held in New York City on November 18 and 19, 2004. Many of the papers discussed at the workshop, generally after considerable revision, were published in Demographic Research in 2005 and 2006. Nine of these articles, in some cases somewhat revised, are published in this monograph: they are the ?rst seven chapters in Part II and the two chapters in Part III.

Does human mortality after age 110 continue to rise, level off, or start to decline? This book describes a concerted, international research effort undertaken with the goal of establishing a database that allows the best possible description of the mortality trajectory beyond the age of 110. The International Database on Longevity (IDL) is the result of this ongoing effort. The IDL contains exhaustive information on validated cases of supercentenarians (people 110 years and older) and allows unbiased estimates of mortality after age 110. The main finding is remarkable: human mortality after age 110 is flat at a probability of death of 50% per year. The sixteen chapters of this book discuss age validation of exceptional longevity, data on supercentenarians in a series of countries, structure and contents of the IDL, and statistical analysis of human mortality after age 110. Several chapters include short accounts of specific supercentenarians that add life to demographic research.

Does human mortality after age 110 continue to rise, level off, or start to decline? This book describes a concerted, international research effort undertaken with the goal of establishing a database that allows the best possible description of the mortality trajectory beyond the age of 110. The International Database on Longevity (IDL) is the result of this ongoing effort. The IDL contains exhaustive information on validated cases of supercentenarians (people 110 years and older) and allows unbiased estimates of mortality after age 110. The main finding is remarkable: human mortality after age 110 is flat at a probability of death of 50% per year. The sixteen chapters of this book discuss age validation of exceptional longevity, data on supercentenarians in a series of countries, structure and contents of the IDL, and statistical analysis of human mortality after age 110. Several chapters include short accounts of specific supercentenarians that add life to demographic research.

Why longevity? For a number of years, the Fondation IPSEN has been devoting considerable effort to the various aspects of ageing, not only to age-related diseases such as Alzheimer''s, but also to the Centenarians, the paragon of positive ageing. The logical continuation of this approach is to address the question of longevity in global terms. Behind the extreme values, what span is accessible to all of us and likely to directly concern most of our contemporaries? The individual and col­ lective increase in the duration of life is one of the most striking phenomena of our time. It could be one of the most significant events in the "bio-social" history of humanity. The increase in life expectancy at old age, which started a few de­ cades ago only, is going on. The most well-advised observer had not foreseen or even dared hope for this increase which will drastically affect our everyday life, our habits and our behavior. In the fragment of human history we are living in, it is our responsibility to deal with this major transformation for the species. Such a transformation needs an effort from all to adapt to the new conditions. This transformation has to be managed rather than simply experienced, anticip­ ated rather than followed, in order to avoid any attempt to pervert this major step forward. All that was present during the first symposium of the new series on longevity of the Colloques Medecine et Recherche convened by the Fondation IPSEN.

Why longevity? For a number of years, the Fondation IPSEN has been devoting considerable effort to the various aspects of ageing, not only to age-related diseases such as Alzheimer's, but also to the Centenarians, the paragon of positive ageing. The logical continuation of this approach is to address the question of longevity in global terms. Behind the extreme values, what span is accessible to all of us and likely to directly concern most of our contemporaries? The individual and col­ lective increase in the duration of life is one of the most striking phenomena of our time. It could be one of the most significant events in the "bio-social" history of humanity. The increase in life expectancy at old age, which started a few de­ cades ago only, is going on. The most well-advised observer had not foreseen or even dared hope for this increase which will drastically affect our everyday life, our habits and our behavior. In the fragment of human history we are living in, it is our responsibility to deal with this major transformation for the species. Such a transformation needs an effort from all to adapt to the new conditions. This transformation has to be managed rather than simply experienced, anticip­ ated rather than followed, in order to avoid any attempt to pervert this major step forward. All that was present during the first symposium of the new series on longevity of the Colloques Medecine et Recherche convened by the Fondation IPSEN.

What can social science, and demography in particular, reasonably expect to learn from biological information? There is increasing pressure for multipurpose household surveys to collect biological data along with the more familiar interviewer-respondent information. Given that recent technical developments have made it more feasible to collect biological information in non-clinical settings, those who fund, design, and analyze survey data need to think through the rationale and potential consequences. This is a concern that transcends national boundaries. Cells and Surveys addresses issues such as which biologic/genetic data should be collected in order to be most useful to a range of social scientists and whether amassing biological data has unintended side effects. The book also takes a look at the various ethical and legal concerns that such data collection entails.