Books about Frailty from Amazon.com

We conceive of and describe the world in ways that usually work just fine, but in the far corners of the labyrinth of reason, our best intentions fold back on themselves, and we end up trapped in an intractable loop or tumbling down a chute of infinite regress. Labyrinths of Reason is a collection of classic philosophical thought experiments and other imponderables that push reason and language to their logical limits. Beyond just idle brainteasers, William Poundstone shows that these mental exercises have profound implications for such fields as cryptography, decision theory, subatomic physics, and computer programming. But most of all, they're good, clean philosophical fun!.
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This book is about the central figure of our contemporary, 'liquid modern' times - the man or woman with no bonds, and particularly with none of the fixed or durable bonds that would allow the effort of self-definition and self-assertion to come to a rest. Having no permanent bonds, the denizen of our liquid modern society must tie whatever bonds they can to engage with others, using their own wits, skill and dedication. But none of these bonds are guaranteed to last. Moreover, they must be tied loosely so that they can be untied again, quickly and as effortlessly as possible, when circumstances change - as they surely will in our liquid modern society, over and over again.


The uncanny frailty of human bonds, the feeling of insecurity that frailty inspires, and the conflicting desires to tighten the bonds yet keep them loose, are the principal themes of this important new book by Zygmunt Bauman, one of the most original and influential social thinkers of our time. It will be of great interest to students and scholars in sociology and in the social sciences and humanities generally, and it will appeal to anyone interested in the changing nature of human relationships..
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Time-to-event data are ubiquitous in fields such as medicine, biology, demography, sociology, economics and reliability theory. Recently, a need to analyze more complex event histories has emerged. Examples are individuals that move among several states, frailty that makes some units fail before others, internal time-dependent covariates, and the estimation of causal effects from observational data.

The aim of this book is to bridge the gap between standard textbook models and a range of models where the dynamic structure of the data manifests itself fully. The common denominator of such models is stochastic processes. The authors show how counting processes, martingales, and stochastic integrals fit very nicely with censored data. Beginning with standard analyses such as Kaplan-Meier plots and Cox regression, the presentation progresses to the additive hazard model and recurrent event data. Stochastic processes are also used as natural models for individual frailty; they allow sensible interpretations of a number of surprising artifacts seen in population data.

The stochastic process framework is naturally connected to causality. The authors show how dynamic path analyses can incorporate many modern causality ideas in a framework that takes the time aspect seriously.

To make the material accessible to the reader, a large number of practical examples, mainly from medicine, are developed in detail. Stochastic processes are introduced in an intuitive and non-technical manner. The book is aimed at investigators who use event history methods and want a better understanding of the statistical concepts. It is suitable as a textbook for graduate courses in statistics and biostatistics.

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Can women be equal to men as long as men are physically stronger? And are men, in fact, stronger?
These are key questions that Colette Dowling, author of the bestselling The Cinderella Complex, raises in her provocative new book. The myth of female frailty, with its roots in nineteenth-century medicine and misogyny, has had a damaging effect on women's health, social status, and physical safety. It is Dowling's controversial thesis that women succumb to societal pressures to appear weak in order to seem more "feminine."
The Frailty Myth presents new evidence that girls are weaned from the use of their bodies even before they begin school. By adolescence, their strength and aerobic powers have started to decline unless the girls are exercising vigorously--and most aren't. By sixteen, they have already lost bone density and turned themselves into prime candidates for osteoporosis. They have also been deprived of motor stimulation that is essential for brain growth.
Yet as breakthroughs among elite women athletes grow more and more astounding, it begins to appear that strength and physical skill--for all women--is only a matter of learning and training. Men don't have a monopoly on physical prowess; when women and men are matched in size and level of training, the strength gap closes. In some areas, women are actually equipped to outperform men, due partly to differences in body structure, and partly to the newly discovered strengthening benefits of estrogen.

Drawing on extensive research in motor development, performance assessment, sports physi-ology, and endocrinology, Dowling presents an astonishing picture of the new physical woman. And she creates a powerful argument that true equality isn't possible until women learn how to stand up for themselves--physically..
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Clustered survival data are encountered in many scientific disciplines including human and veterinary medicine, biology, epidemiology, public health and demography Frailty models provide a powerful tool to analyse clustered survival data. In contrast to the large number of research publications on frailty models, relatively few statistical software packages contain frailty models.

It is demanding for statistical practitioners and graduate students to grasp a good knowledge on frailty models from the existing literature. This book provides an in-depth discussion and explanation of the basics of frailty model methodology for such readers. The discussion includes parametric and semiparametric frailty models and accelerated failure time models. Common techniques to fit frailty models include the EM-algorithm, penalised likelihood techniques, Laplacian integration and Bayesian techniques. More advanced frailty models for hierarchical data are also included.

Real-life examples are used to demonstrate how particular frailty models can be fitted and how the results should be interpreted. The programs to fit all the worked-out examples in the book are available from the Springer website with most of the programs developed in the freeware packages R and Winbugs. The book starts with a brief overview of some basic concepts in classical survival analysis, collecting what is needed for the reading on the more complex frailty models.

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