A Framework For Survival
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| Author | : Odd Aalen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 550 |
| Release | : 2008-09-16 |
| Genre | : Mathematics |
| ISBN | : 038768560X |
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.
| Author | : Paul Valent |
| Publisher | : Psychology Press |
| Total Pages | : 276 |
| Release | : 1998 |
| Genre | : Medical |
| ISBN | : 9780876309216 |
First published in 1998. Routledge is an imprint of Taylor & Francis, an informa company.
| Author | : George R. Lueddeke |
| Publisher | : Routledge |
| Total Pages | : 229 |
| Release | : 2018-09-17 |
| Genre | : Business & Economics |
| ISBN | : 0429814011 |
Planet Earth has been here for over 4.5 billion years but in just two human generations we have managed to place our only 'home' at great risk. Many lessons from history have not yet been learned and new lessons may prove equally, if not more, difficult to take on board as we head deeper into the twenty-first century. This book highlights two of our greatest social problems: changing the way we relate to the planet and to one another, and confronting how we use technology (dataism) for the benefit of both humankind and the planet. Covering a wide range of key topics, including environmental degradation, modern life, capitalism, robotics, financing of war (vs peace) and the pressing need to re-orient society towards a sustainable future, the book contends that lifelong learning for sustainability is key to our survival. The author argues that One Health - recognising the fundamental interconnections between people, animals, plants, the environment - needs to inform the UN-2030 Sustainable Development Goals and that working towards the adoption of a new mindset is essential. We need to replace our current view of limitless resources, exploitation, competition and conflict with one that respects the sanctity of life and strives towards well-being for all, shared prosperity and social stability. Clearly written, evidence based and transdisciplinary - and including contributions from the World Bank, InterAction Council, Chatham House, UNESCO, World Economic Forum, the Tripartite One Health collaboration (UN Food and Agriculture Organization, World Organisation for Animal Health and World Health Organization), One Health Commission and more - this book cuts across sociopolitical, economic and environmental lines. It will be of great interest to practitioners, academics, policy-makers, students, nongovernment agencies and the public at large in both developed and developing nations.
| Author | : John O'Quigley |
| Publisher | : Springer Nature |
| Total Pages | : 475 |
| Release | : 2021-04-27 |
| Genre | : Mathematics |
| ISBN | : 3030334392 |
This book provides an extensive coverage of the methodology of survival analysis, ranging from introductory level material to deeper more advanced topics. The framework is that of proportional and non-proportional hazards models; a structure that is broad enough to enable the recovery of a large number of established results as well as to open the way to many new developments. The emphasis is on concepts and guiding principles, logical and graphical. Formal proofs of theorems, propositions and lemmas are gathered together at the end of each chapter separate from the main presentation. The intended audience includes academic statisticians, biostatisticians, epidemiologists and also researchers in these fields whose focus may be more on the applications than on the theory. The text could provide the basis for a two semester course on survival analysis and, with this goal in mind, each chapter includes a section with a range of exercises as a teaching aid for instructors.
| Author | : Josh Berson |
| Publisher | : University of California Press |
| Total Pages | : 247 |
| Release | : 2021-03-23 |
| Genre | : Science |
| ISBN | : 0520380495 |
Humanity has precipitated a planetary crisis of resource consumption—a crisis of stuff. So ingrained is our stuff-centric view that we can barely imagine a way out beyond substituting a new portmanteau of material things for the one we have today. In The Human Scaffold, anthropologist Josh Berson offers a new theory of adaptation to environmental change. Drawing on niche construction, evolutionary game theory, and the enactive view of cognition, Berson considers cases in the archaeology of adaptation in which technology in the conventional sense was virtually absent. Far from representing anomalies, these cases exemplify an enduring feature of human behavior that has implications for our own fate. The time has come to ask what the environmental crisis demands of us not as consumers but as biological beings. The Human Scaffold offers a starting point.
| Author | : Catherine Legrand |
| Publisher | : CRC Press |
| Total Pages | : 361 |
| Release | : 2021-03-22 |
| Genre | : Mathematics |
| ISBN | : 0429622554 |
Survival data analysis is a very broad field of statistics, encompassing a large variety of methods used in a wide range of applications, and in particular in medical research. During the last twenty years, several extensions of "classical" survival models have been developed to address particular situations often encountered in practice. This book aims to gather in a single reference the most commonly used extensions, such as frailty models (in case of unobserved heterogeneity or clustered data), cure models (when a fraction of the population will not experience the event of interest), competing risk models (in case of different types of event), and joint survival models for a time-to-event endpoint and a longitudinal outcome. Features Presents state-of-the art approaches for different advanced survival models including frailty models, cure models, competing risk models and joint models for a longitudinal and a survival outcome Uses consistent notation throughout the book for the different techniques presented Explains in which situation each of these models should be used, and how they are linked to specific research questions Focuses on the understanding of the models, their implementation, and their interpretation, with an appropriate level of methodological development for masters students and applied statisticians Provides references to existing R packages and SAS procedure or macros, and illustrates the use of the main ones on real datasets This book is primarily aimed at applied statisticians and graduate students of statistics and biostatistics. It can also serve as an introductory reference for methodological researchers interested in the main extensions of classical survival analysis.
| Author | : Marc Abélès |
| Publisher | : Duke University Press |
| Total Pages | : 250 |
| Release | : 2010-01-01 |
| Genre | : Social Science |
| ISBN | : 0822390779 |
In this provocative analysis of global politics, the anthropologist Marc Abélès argues that the meaning and aims of political action have radically changed in the era of globalization. As dangers such as terrorism and global warming have moved to the fore of global consciousness, foreboding has replaced the belief that tomorrow will be better than today. Survival, outlasting the uncertainties and threats of a precarious future, has supplanted harmonious coexistence as the primary goal of politics. Abélès contends that this political reorientation has changed our priorities and modes of political action, and generated new debates and initiatives. The proliferation of supranational and transnational organizations—from the European Union to the World Trade Organization (WTO) to Oxfam—is the visible effect of this radical transformation in our relationship to the political realm. Areas of governance as diverse as the economy, the environment, and human rights have been partially taken over by such agencies. Non-governmental organizations in particular have become linked with the mindset of risk and uncertainty; they both reflect and help produce the politics of survival. Abélès examines the new global politics, which assumes many forms and is enacted by diverse figures with varied sympathies: the officials at meetings of the WTO and the demonstrators outside them, celebrity activists, and online contributors to international charities. He makes an impassioned case that our accounts of globalization need to reckon with the preoccupations and affiliations now driving global politics. The Politics of Survival was first published in France in 2006. This English-language edition has been revised and includes a new preface.
| Author | : Michael A. Jochim |
| Publisher | : Elsevier |
| Total Pages | : 244 |
| Release | : 2013-09-11 |
| Genre | : Science |
| ISBN | : 1483273415 |
Strategies for Survival: Cultural Behavior in an Ecological Context focuses on the ecological relationships between cultural behavior and its environmental context. The proliferation of ecological studies within anthropology suggests the increasing emphasis given to the systemic context of behavior. The aim of this book is to develop a framework for examining these relationships and for comparing diverse ecological studies within a coherent conceptual structure. It seeks to include any aspect of behavior, to investigate the links between ideological and material factors, to broaden the view of relevant factors and possible assumptions, and to relate the processes of decision-making to their specific context in a manner allowing cross-cultural comparisons. In the process, certain popular forms of ecological explanation will be examined. In addition, specific behavioral examples will be investigated in an attempt to explain patterns of similarities and differences. This book is addressed to all individuals interested in human-environmental interactions, including professional anthropologists and general students of human behavior.
| Author | : Ross A. Maller |
| Publisher | : John Wiley & Sons |
| Total Pages | : 312 |
| Release | : 1996 |
| Genre | : Mathematics |
| ISBN | : |
The aim of this book is to suggest and exemplify a systematic methodology for analysing survival data which contains "immune", or "cured" individuals, denoted generically as "long-term survivors". Such data occurs in medical and epidemiological applications, where the intention may be to identify whether or not cured or immune individuals are present in a population, perhaps as a result of treatments given; in the analysis of recidivism data in criminology, where the intentions are similar with respect to prisoners released from and possibly returning to prison; and in many other areas where followup data is available on individuals, with the possibility that not all suffer the event under investigation. Both nonparametric and parametric methods are proposed and developed. The effects of covariate information can be assessed via a kind of generalised linear framework in the parametric analyses. The proposed methodologies are supported by asymptotic analyses and simulations of real situations. While these theoretical underpinnings are presented in reasonable rigour and detail, the book is aimed very much at the practitioner who wishes to analyse survival data with (or even without) immunes.
| Author | : Thomas R. Fleming |
| Publisher | : John Wiley & Sons |
| Total Pages | : 454 |
| Release | : 2011-09-20 |
| Genre | : Mathematics |
| ISBN | : 111815066X |
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "The book is a valuable completion of the literature in this field. It is written in an ambitious mathematical style and can be recommended to statisticians as well as biostatisticians." -Biometrische Zeitschrift "Not many books manage to combine convincingly topics from probability theory over mathematical statistics to applied statistics. This is one of them. The book has other strong points to recommend it: it is written with meticulous care, in a lucid style, general results being illustrated by examples from statistical theory and practice, and a bunch of exercises serve to further elucidate and elaborate on the text." -Mathematical Reviews "This book gives a thorough introduction to martingale and counting process methods in survival analysis thereby filling a gap in the literature." -Zentralblatt für Mathematik und ihre Grenzgebiete/Mathematics Abstracts "The authors have performed a valuable service to researchers in providing this material in [a] self-contained and accessible form. . . This text [is] essential reading for the probabilist or mathematical statistician working in the area of survival analysis." -Short Book Reviews, International Statistical Institute Counting Processes and Survival Analysis explores the martingale approach to the statistical analysis of counting processes, with an emphasis on the application of those methods to censored failure time data. This approach has proven remarkably successful in yielding results about statistical methods for many problems arising in censored data. A thorough treatment of the calculus of martingales as well as the most important applications of these methods to censored data is offered. Additionally, the book examines classical problems in asymptotic distribution theory for counting process methods and newer methods for graphical analysis and diagnostics of censored data. Exercises are included to provide practice in applying martingale methods and insight into the calculus itself.
