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Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics

S. Krinsky

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ISBN 10: 0387954406 / ISBN 13: 9780387954400
Published by Springer
New Condition New Hardcover
From BuySomeBooks (Las Vegas, NV, U.S.A.) Quantity Available: 20
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Hardcover. 257 pages. Dimensions: 9.7in. x 6.4in. x 0.8in.Ethics and Law in Modern Medicine is a unique book that explores the field of medical ethics and health care decision-making through hypothetical case studies. The truly unique feature of this volume is that each chapter sets forth a hypothetical fact pattern which includes role assignments to encourage participants to actively take part in group discussions and debate the controversial and cutting-edge topics that are presented. Each chapter includes in-depth discussion questions which thoroughly explore issues raised by the hypothetical fact patterns, and suggested readings provide background for participants. Additionally, the volume contains excerpts from key statutes and case law which govern the decision-making process presented in each chapter. The volume covers a wide variety of issues including HIV, the health care rights of minors, consent and confidentiality, assisted reproductive technology, property rights in bodily organs, research ethics, religious freedom and the right to refuse care, rationing of scarce resources, surrogate decision-making, and several other traditional as well as unique ethical, legal, and social issues. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9780387954400

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Synopsis:

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. 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 contain much more detail than necessary. Here, an effort has been made to relate biological to statistical parameters throughout, and the book includes extensive examples that illustrate the developing argument.
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Bibliographic Details

Title: Likelihood, Bayesian, and MCMC Methods in ...

Publisher: Springer

Binding: Hardcover

Book Condition: New

Book Type: Hardcover

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