Quantitative Health Risk Analysis Methods: Modeling the Human Health Impacts of Antibiotics Used in Food Animals (International Series in Operations Research & Management Science)

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Worldwide health care problems are a hot, growing application in Operations Research. Along with a quickly growing field is an active community of Medical OR and Risk Analysis researchers. Tony Cox is one of the leading research scholars in the field of Risk Heath Risk. His work on health risk modeling will be synthesized along with the work of others on modeling human health risks. The monograph will cover a range of modeling and methodological issues including environmental, experimental, simulation, and mathematical modeling approaches.

Statistical Modeling for Biomedical Researchers: A Simple Introduction to the Analysis of Complex Data

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Good guide
Accessible Intermediate Text
Very useful during statistics class
Useful in conjuction with the manuals
Buy this book if you like problem based learning

Statistical Modeling for Biomedical Researchers: A Simple Introduction to the Analysis of Complex Data
William D. Dupont
Manufacturer: Cambridge University Press
ProductGroup: Book
Binding: Paperback

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ASIN: 0521655781

Book Description

This text enables biomedical researchers to use a number of advanced statistical methods that have proven valuable in medical research, and uses a statistical software package (Stata® ) to avoid mathematics beyond the high school level. Intended for people who have had an introductory course in biostatistics, the volume emphasizes the assumptions underlying each method, using exploratory techniques to determine the most appropriate method. It presents results in a way that will be readily understood by clinical colleagues. Numerous real examples from medical literature and graphical methods are used to illustrate these techniques.

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This text will enable biomedical researchers to use a number of advanced statistical methods that have proven valuable in medical research. It is intended for people who have had an introductory course in biostatistics. A statistical software package (Stata) is used to avoid mathematics beyond the high school level. The emphasis is on understanding the assumptions underlying each method, using exploratory techniques to determine the most appropriate method, and presenting results in a way that will be readily understood by clinical colleagues. Numerous real examples from the medical literature are used to illustrate these techniques. Graphical methods are used extensively. Topics covered include linear regression, logistic regression, Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measures analysis of variance. Each method is introduced in its simplest form and is then extended to cover situations in which multiple explanatory variables are collected on each study subject.

Customer Reviews:

Good guide.......2006-03-04

If you are working with Stata this book will be a good help to understand the basic concepts of the multivarite analysis.

Accessible Intermediate Text.......2004-12-29

Dupont's "Statistical Modeling for Biomedical Researchers" is an accessible, straightforward, easy-to-read text for students and/or researchers w/ some elementary background in biostatistics. As previous reviewers have indicated, this is largely a problem-based text, so for those of you who seek a detailed theoretical explanation of the tools presented therein, you may want to look elsewhere. A major advantage, however, is Dupont's presentation of how to run the respective analyses using the statistical software package, Stata, although it should be noted that the syntax presented is for version 7 of Stata -- not version 8. Parenthetically, all of the code -- w/ the exception of the graphing commands -- are essentially the same between versions. In short, this text is a good introduction to some of the techniques typically not discussed in an elementary biostatistics course, although the book is best characterized as an invaluable adjunct to more theoretical, comprehensive biostatistics textbooks.

Very useful during statistics class.......2003-06-14

I used this book as the text for a biostatistics class that used STATA as the statistitical package. I found the organization, problems, and the STATA output the book provides, all very helpful. In addition, as I moved systematically through the book, the tips regarding using the STATA features were key to my learning many of the practical aspects of the STATA program.

Useful in conjuction with the manuals.......2003-05-21

As a non-statistician with some stat background, I find Dupont book a delightful book. It is packed with interesting and useful information. It starts at t-test and ends with GEE models, covering Cox model with time covariates along the way. But as the author noted, the book assumes some statistical knowledge and access to STATA maual. One minor note: While the book introduction asserts that it only assumes "high school mathematics" knowldege, the high school the author attended must be very different than the one I went to.

Buy this book if you like problem based learning.......2003-05-17

I have had the pleasure of using this book during a biostatistics level two course this year. The book is structured to assist in the course work in statistics using STATA. It is user friendly and gives mathematical explanations when appropriate but without losing the reader with too many equations. The book's approach uses problem based learning along with explanatory text which I found essential in learning to navigate STATA along with learning and understanding logistic regression, poisson regression etc. The best aspect of the book is the STATA output to assist with the problem solving. The book is a very good choice as an interactive tool for understanding advanced statistics using STATA.

Stochastic Modeling of AIDS Epidemiology And HIV Pathogenesis

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Stochastic Modeling of AIDS Epidemiology And HIV Pathogenesis
Tan Wai-Yuan
Manufacturer: Imperial College Press
ProductGroup: Book
Binding: Hardcover

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ASIN: 9810241224

Book Description

This book discusses systematically treatment on the development of stochastic, statistical and state space models of the HIV epidemic and of HIV pathogenesis in HIV-infected individuals, and presents the applications of these models. The book is unique in several ways: (1) it uses stochastic difference and differential equations to present the stochastic models of the HIV epidemic and HIV pathogenesis; in this sense, the deterministic models are considered as special cases when the numbers of different type of people or cells are very large; (2) it provides a critical analysis of deterministic and statistical models in the literature; (3) it develops state space models by combining stochastic models and statistical models; and (4) it provides a detailed discussion on the pros and cons of the different modeling approaches.

Book Description

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 $34 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.

Customer Reviews:

The Details Make the Difference.......2006-08-30

Reading "Forecasting Product Liability Claims" with the eyes of an attorney involved in the management of mass tort litigation settlements is a daunting task because the text contains very detailed statistical formulae and concepts. However, it is the clarity with which the concepts are explained that allows the non-statistician who has interest to follow the logic. Understanding how the statistics professional accumulates and finds understanding in the seemingly unassociated data should give great insight to the legal professional, whether lawyer or judge, who needs to bring individual justice to thousands of claimants. The introduction by Judge Weinstein is the icing on a rich slowly digested cake for the legal professional.
Lawrence Curtis, General Counsel, Mass Tort Settlements Services

Mathematical Modeling in Epidemiology (Monographs on Theoretical and Applied Genetics)

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Mathematical Modeling in Epidemiology (Monographs on Theoretical and Applied Genetics)
J. C. Frauenthal
Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

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ASIN: 0387103287

Mathematical Modeling of Biological Systems, Volume II: Epidemiology, Evolution and Ecology, Immunology, Neural Systems and the Brain, and Innovative Mathematical ... in Science, Engineering and Technology)

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Mathematical Modeling of Biological Systems, Volume II: Epidemiology, Evolution and Ecology, Immunology, Neural Systems and the Brain, and Innovative Mathematical ... in Science, Engineering and Technology)

Manufacturer: Birkhäuser Boston
ProductGroup: Book
Binding: Hardcover

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ASIN: 0817645551

Book Description

This two-volume, interdisciplinary work is a unified presentation of a broad range of state-of-the-art topics in the rapidly growing field of mathematical modeling in the biological sciences. Highlighted throughout both works are mathematical and computational approaches to examine central problems in the life sciences, ranging from the organizational principles of individual cells to the dynamics of large populations.

Volume I covers a number of areas, including:

* Cellular Biophysics

* Regulatory Networks

* Developmental Biology

* Biomedical Applications

* Data Analysis and Model Validation

Volume II examines a diverse range of subjects, including:

* Epidemiology

* Evolution and Ecology

* Immunology

* Neural Systems and the Brain

* Innovative Mathematical Methods and Education

Both volumes will be excellent reference texts for a broad audience of researchers, practitioners, and advanced students in this rapidly growing field at the intersection of applied mathematics, experimental biology and medicine, computational biology, biochemistry, computer science, and physics.

Modeling HIV Transmission And AIDS in the United States (Lecture Notes in Biomathematics)

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Modeling HIV Transmission And AIDS in the United States (Lecture Notes in Biomathematics)
Herbert W. Hethcote , and James W. Van Ark
Manufacturer: Springer-Verlag Telos
ProductGroup: Book
Binding: Paperback

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Modeling the AIDS Epidemic: Planning, Policy, and Prediction

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Modeling the AIDS Epidemic: Planning, Policy, and Prediction
Edward H. Kaplan
Manufacturer: Raven Pr
ProductGroup: Book
Binding: Hardcover

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Book Description

This outstanding volume presents the latest applied mathematical and statistical modeling research that can help focus and improve major decision-making in planning, resource allocation, and public health policy for the current AIDS health crisis. Thirty detailed chapters examine how mathematical and statistical tools are being successfully applied to many AIDS-related issues, including forecasting, evaluation of behavioral intervention programs, natural history and disease progression, clinical trials for treatment, field studies of incidence and prevalence of the disease, characterization of the disease transmission process, and evaluation of the societal costs and benefits of alternative policy decisions.

Complex Population Dynamics: Nonlinear Modeling in Ecology, Epidemiology and Genetics (World Scientific Lecture Notes in Complex Systems)

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Complex Population Dynamics: Nonlinear Modeling in Ecology, Epidemiology and Genetics (World Scientific Lecture Notes in Complex Systems)

Manufacturer: World Scientific Publishing Company
ProductGroup: Book
Binding: Hardcover

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