Sixth edition of the hugely successful, internationally recognised textbook on global public health and epidemiology, with 3 volumes comprehensively covering the scope, methods, and practice of the discipline
Theory of illness causation is an important issue in all biomedical sciences, and solid etiological explanations are needed in order to develop therapeutic approaches in medicine and preventive interventions in public health. Until now, the literature about the theoretical underpinnings of illness causation research has been scarce and fragmented, and lacking a convenient summary. This interdisciplinary book provides a convenient and accessible distillation of the current status of research into this developing field, and adds a personal flavor to the discussion by proposing the etiological stance as a comprehensive approach to identify modifiable causes of illness. Key Features • Provides a synthesis of the epidemiological and philosophical concepts in this growing research area • Gives an accessible overview of current methods in biomedical causal metaphysics ̶ what is a cause of illness? ̶ and epistemology ̶ how do we identify it? • Proposes a novel approach that integrates modern epidemiological methodology and recent theories from philosophy of science Written for postgraduate students and researchers in the health and biomedical sciences, including those undertaking courses in the philosophy of medicine/science, public and global health, introduction to epidemiology, research methods, and advanced reasoning, the content will also be of interest to practicing public health workers, biomedical scientists, and physicians. ABOUT THE AUTHOR Olaf Dammann is Professor and Vice Chair of Public Health and Community Medicine at Tufts University School of Medicine, Boston, Massachusetts, USA; as well as a Professor in the Department of Gynecology and Obstetrics at Hannover Medical School, Hannover, Germany. Cover image: Mask used by "Eskimo" shaman in causation of illness. Credit: Wellcome Collection. CC BY https://creativecommons.org/licenses/by/4.0
The second edition of this essential introduction to epidemiology presents the core concepts in a unified approach that aims to cut through the fog and elucidate the fundamental concepts.
Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence ...
There are approximately 4,000 fatalities in crashes involving trucks and buses in the United States each year. Though estimates are wide-ranging, possibly 10 to 20 percent of these crashes might have involved fatigued drivers. The stresses associated with their particular jobs (irregular schedules, etc.) and the lifestyle that many truck and bus drivers lead, puts them at substantial risk for insufficient sleep and for developing short- and long-term health problems. Commercial Motor Vehicle Driver Fatigue, Long-Term Health and Highway Safety assesses the state of knowledge about the relationship of such factors as hours of driving, hours on duty, and periods of rest to the fatigue experienced by truck and bus drivers while driving and the implications for the safe operation of their vehicles. This report evaluates the relationship of these factors to drivers' health over the longer term, and identifies improvements in data and research methods that can lead to better understanding in both areas.
The Psychology of Learning and Motivation publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditions to complex learning and problem solving. This guest-edited special volume is devoted to current research and discussion on associative versus cognitive accounts of learning. Written by major investigators in the field, topics include all aspects of causal learning in an open forum in which different approaches are brought together. - Up-to-date review of the literature - Discusses recent controversies - Presents major advances in understanding causal learning - Synthesizes contrasting approaches - Includes important empirical contributions - Written by leading researchers in the field
This volume provides an excellent overview of the field of discourse processes, capturing both its breadth and its depth. World-renowned researchers present the latest theoretical developments and thought-provoking empirical data. In doing so, they cover a broad range of communicative activities, including text comprehension, conversational communication, argumentation, television or media viewing, and more. A central theme across all chapters concerns the notion that coherence determines the interpretation of the communication. The various chapters illustrate the many forms that coherence can take, and explore its role in different communicative settings.
This book is intended for anyone, regardless of discipline, who is interested in the use of statistical methods to help obtain scientific explanations or to predict the outcomes of actions, experiments or policies. Much of G. Udny Yule's work illustrates a vision of statistics whose goal is to investigate when and how causal influences may be reliably inferred, and their comparative strengths estimated, from statistical samples. Yule's enterprise has been largely replaced by Ronald Fisher's conception, in which there is a fundamental cleavage between experimental and non experimental inquiry, and statistics is largely unable to aid in causal inference without randomized experimental trials. Every now and then members of the statistical community express misgivings about this turn of events, and, in our view, rightly so. Our work represents a return to something like Yule's conception of the enterprise of theoretical statistics and its potential practical benefits. If intellectual history in the 20th century had gone otherwise, there might have been a discipline to which our work belongs. As it happens, there is not. We develop material that belongs to statistics, to computer science, and to philosophy; the combination may not be entirely satisfactory for specialists in any of these subjects. We hope it is nonetheless satisfactory for its purpose.
Children are widely celebrated for their imaginations, but developmental research on this topic has often been fragmented or narrowly focused on fantasy. However, there is growing appreciation for the role that imagination plays in cognitive and emotional development, as well as its link with children's understanding of the real world. With their imaginations, children mentally transcend time, place, and/or circumstance to think about what might have been, plan and anticipate the future, create fictional relationships and worlds, and consider alternatives to the actual experiences of their lives. The Oxford Handbook of the Development of Imagination provides a comprehensive overview of this broad new perspective by bringing together leading researchers whose findings are moving the study of imagination from the margins of mainstream psychology to a central role in current efforts to understand human thought. The topics covered include fantasy-reality distinctions, pretend play, magical thinking, narrative, anthropomorphism, counterfactual reasoning, mental time travel, creativity, paracosms, imaginary companions, imagination in non-human animals, the evolution of imagination, autism, dissociation, and the capacity to derive real life resilience from imaginative experiences. Many of the chapters include discussions of the educational, clinical, and legal implications of the research findings and special attention is given to suggestions for future research.