Showing posts with label Epidemiology. Show all posts
Showing posts with label Epidemiology. Show all posts

Sunday, August 15, 2010

Social Epidemiology: Strategies for Public Health Activism

±1±: Now is the time Social Epidemiology: Strategies for Public Health Activism Order Today!


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Aug 15, 2010 09:19:24
This textbook guides readers through the formulation of research, intervention and policy in public health from an integrated perspective on health and social issues. Julie Cwikel begins with a comprehensive review of the historical roots of public health and social medicine, as they form the theoretical bases for social epidemiological practice today. The heart of the book presents the theoretical, research and programmatic tools needed to bring about effective public health change. The SOCEPID model is presented as a guiding heuristic for integrating between qualitative data from the field and quantitative data collected through classic epidemiological research. This model is then applied to a range of key topics: chronic illness, injury control, violence prevention, sexually transmitted diseases (especially HIV), environmental hazards, and vulnerable populations such as immigrants and trafficked women. Throughout the book germane tables and figures are integrated to illustrate social epidemiological methods without losing sight of the meaning of numbers.

This book grew out of Cwikel's extensive experience in teaching social epidemiology. It is practical and activist, demonstrating through cutting-edge empirical findings how epidemiological methods can be used to conduct policymaking research and change at both the micro and macro levels.

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±1±: Best Buy We have agents all angles we epidemiological triangle there, please consult the Journal of Epidemiology published a paper that shows the growing interest in environmental and social aspects of the host. The other side of the methodology among researchers and social scientists as a growing interest in the concept is not epidemiologist. Social epidemiology is an excellent textbook is designed to introduce social scientists to epidemiology to study health issues that touch thatPublic health students and researchers in a wide range of application health, and health policy. This book SOCEPID model (page 168) is a look at various sources of data can inform research and practice heuristics, social epidemiology, as an organization to encourage the use of these tasks. This book is a definite health problems and systematic way it is written as an illustration of the method has been used very broad, and intervention research design. BenefitsThis book is the quality of epidemiological methods to include social epidemiology and public health and order it for social scientists to study the suitable method is to enrich the quantitative findings. We are investing for the teaching of writing into the incredible experience based on his comprehensive and informative book please thank Cwikel. This is an excellent choice for social scientists working on both the epidemiology and public health issues. on Sale!

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Sunday, May 2, 2010

Forecasting Product Liability Claims: Epidemiology and Modeling in the Manville Asbestos Case (Statistics for Biology and Health)

±1±: Now is the time Forecasting Product Liability Claims: Epidemiology and Modeling in the Manville Asbestos Case (Statistics for Biology and Health) Order Today!


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May 02, 2010 06:02:00
This volume presents a rigorous account of statistical forecasting efforts that led to the successful resolution of the Johns-Manville asbestos litigation. This case, taking 12 years to reach settlement, is expected to generate nearly 500,000 claims at a total nominal value of over billion. The forecasting task, to project the number, timing, and nature of claims for asbestos-related injuries from a set of exposed persons of unknown size, is a general problem: the models in this volume can be adapted to forecast industry-wide asbestos liability. More generally, because the models are not overly dependent on the U.S. legal system and the role of asbestos as a dangerous/defective product, this volume will be of interest in other product liability cases, as well as similar forecasting situations for a range of insurable or compensable events. The volume stresses the iterative nature of model building and the uncertainty generated by lack of complete knowledge of the injury process. This uncertainty is balanced against the Court's need for a definitive settlement, and the volume addresses how these opposing principles can be reconciled. The volume is written for a broad audience of actuaries, biostatisticians, demographers, economists, epidemiologists, environmental health scientists, financial analysts, industrial-risk analysts, occumpational health analysts, product liability analysts, and statisticians. The modest prerequisites include basic concepts of statistics, calculus, and matrix algebra. Care is taken that readers without specialized knowledge in these areas can understand the rationale for specific applications of advanced methods. As a consequence, this volume will be an indispensable reference for all whose work involves these topics.

Eric Stallard, A.S.A., M.A.A.A., is Research Professor and Associate Director of the Center for Demographic Studies at Duke University. He is a Member of the American Academy of Actuaries and an Associate of the Society of Actuaries. He serves on the American Academy of Actuaries Committees on Long Term Care and Social Insurance. He also serves on the society of Actuaries' Long Term Care Experience Committee. His research interests include modelling and forecasting for medical demography and health actuarial practice. He was the 1996 winner of the National Institute on Aging's James A. Shannon Director's Award.

Kenneth G. Manton, Ph.D., is Research Professor, Research Director, and Director of the Center for Demographic Studies at Duke University and Medical Research Professor at Duke University Medical Center's Department of Community and Family Medicine. Dr. Manton is also a Senior Fellow of the Duke University Medical Center's Center for the Study of Aging and Human Development. His research interests include mathematical models of human aging, mortality, and chronic disease. He was the 1990 recipient of the Mindel C. Sheps Award in Mathematical Demography presented by the Population Association of America; and in 1991 he received the Allied-Signal Inc. Achievement Award in Aging administred by the Johns Hopkins Center on Aging.

Joel E. Cohen, Ph.D., Dr. P.H., is Professor of Populations, and Head of the Laboratory of Populations, Rockefeller University. He also is Professor of Populations at Columbia University. His research interests include the demography, ecology, epidemiology, and social organization of human and non-human populations, and related mathematical concepts. In 1981, he was elected Fellow of the MacArthur and Guggenheim Foundations. He was the 1992 recipient of the Mindel C. Sheps Award in Mathematical Demography presented by the Population Association of America; and in 1994, he received the Distinguished Statistical Ecologist Award at the Sixth International Congress of Ecology.

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