Physical agents in rehabilitation

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[edited by] Michelle H. Cameron

"This resource covers everything from thermal agents, hydrotherapy, traction, compression, ultrasound, electrical currents, and electromagnetic fields to recent advances and new applications. You'll find clear discussions of the scientific basis for these agents' function, the types of conditions they can be used to treat, and their effectiveness according to the current research. You'll also discover practical guidelines that explain how to use them, when to use them...and when not to, how to integrate them into a patient's overall treatment plan, and how to document your treatment to optimize reimbursement and minimize liability."--BOOK JACKET.

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Robert A. Spasoff

"This book is dedicated to the proposition that health policy should be evidence-based, and that epidemiology can provide much of the evidence. Unlike most epidemiology textbooks, which focus on etiologic research, Epidemiologic Methods for Health Policy emphasizes the descriptive methods that are relevant to policy. Many practical examples are provided, drawn from several developed countries, but mathematics is kept to an elementary level. A recurring theme is the interaction between health phenomena and the underlying population dynamics, and thus the close relationship of this type of epidemiology to demography."--Jacket.

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James F. Jekel

Succinct yet thorough, Epidemiology, Biostatistics, and Preventive Medicine, 3rd Edition brings you today's best knowledge on epidemiology, biostatistics, preventive medicine, and public health--in one convenient source. You'll find the latest on healthcare policy and financing infectious diseases chronic disease and disease prevention technology. This text also serves as an outstanding resource for preparing for the USMLE, and the American Board of Preventive Medicine recommends it as a top review source for its core specialty examination. Discusses the financial concerns and the use and limitations of screening in the prevention of symptomatic disease. Emphasizes the application of epidemiologic and biostatistical concepts to everyday clinical problem solving and decision making. Showcases important concepts and calculations inside quick-reference boxes. Presents abundant illustrations and well-organized tables to clarify and summarize complex concepts. Includes 350 USMLE-style questions and answers, complete with detailed explanations about why various choices are correct or incorrect. This book comes with STUDENT CONSULT at no extra charge! Register at www.studentconsult.com today ... so you can learn and study more powerfully than ever before!Access the complete contents of the book online, anywhere you go ... perform quick searches ... and add your own notes and bookmarks. Follow Integration Links to related bonus content from other STUDENT CONSULT titles--to help you see the connections between diverse disciplines. Reference all other STUDENT CONSULT titles you own online, too--all in one place!Look for the STUDENT CONSULT logo on your favorite Elsevier textbooks!

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Daniel Sorensen, Daniel Gianola

Over the last ten years the introduction of computer intensive statistical methods has opened new horizons concerning the probability models that can be fitted to genetic data, the scale of the problems that can be tackled and the nature of the questions that can be posed. In particular, the application of Bayesian and likelihood methods to statistical genetics has been facilitated enormously by these methods. Techniques generally referred to as Markov chain Monte Carlo (MCMC) have played a major role in this process, stimulating synergies among scientists in different fields, such as mathematicians, probabilists, statisticians, computer scientists and statistical geneticists. Specifically, the MCMC "revolution" has made a deep impact in quantitative genetics. This can be seen, for example, in the vast number of papers dealing with complex hierarchical models and models for detection of genes affecting quantitative or meristic traits in plants, animals and humans that have been published recently. This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quantitative traits. Most students in biology and agriculture lack the formal background needed to learn these modern biometrical techniques. Although a number of excellent texts in these areas have become available in recent years, the basic ideas and tools are typically described in a technically demanding style, and have been written by and addressed to professional statisticians. For this reason, considerable more detail is offered than what may be warranted for a more mathematically apt audience. The book is divided into four parts. Part I gives a review of probability and distribution theory. Parts II and III present methods of inference and MCMC methods. Part IV discusses several models that can be applied in quantitative genetics, primarily from a bayesian perspective. An effort has been made to relate biological to statistical parameters throughout, and examples are used profusely to motivate the developments.