Ensemble Classification Methods with Applications in R

In thisfourth edition, Ron Smith has compiled the foundational information needed to assess literature and think as a clinician and clinician scientist. Using recent literature examples, foundational concepts relating to the diagnosis and management of individual patients and populations are clearly explained. Without getting lost in the math, the rationale for clinical test selection and design, selecting prognostic indicators, and assessment of treatment protocols for individuals and populations are outlined. Through this work, the author provides a solid foundation for an evidence-based approach to generating and consuming clinically relevant information.

- Dr Paul D. Pion, DVM, DipACVIM (Cardiology), president and co-founder of the Veterinary Information Network (VIN)

Ronald Smith’s clear and direct style is easy to read for students, and his layout by epidemiological concept provides a good framework for teaching veterinary students.
- Professor Scott Wells, Professor of Veterinary Population Medicine, University of Minnesota

With its relatively short length and well-organized table of contents, this is a great reference for practicing veterinarians or veterinary students.


- William E Sander, DVM, MPH, BA(University of Illinois College of Veterinary Medicine), Doody's Review - Four star, 93

From Patient to Population

Veterinary Clinical Epidemiology

Women and Politics in the Third World

Dualism, Dewey and Philosophy in Schools

Social Reconstruction Learning

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"The Handbook of Graphical Models is an edited collection of chapters written by leading researchers and covering a wide range of topics on probabilistic graphical models. The editors, Marloes Maathuis, Mathias Drton, Steffen Lauritzen, and Martin Wainwright, are well-known statisticians and have conducted foundational research on graphical models. They have done a great job of soliciting and organizing chapters authored by top researchers from a variety of disciplines beyond just mathematics, probability and statistics; many authors hail from computer science, electrical engineering, economics, and even philosophy. It is precisely the multidisciplinary nature of this book that makes it stand out from other texts on graphical models. Because of this, the Handbook of Graphical Models will have broad appeal across many disciplines, providing a unique resource and excellent reference for those researching, studying, and using graphical models...Overall, the Handbook of Graphical Models is an important reference on probabilistic graphical models that will be used by researchers in statistics and probability, computer science, electrical engineering and beyond. The book stands out for its broad, multidisciplinary nature, with wide-ranging and largely theoretical coverage of core topics and the latest research on graphical models."- Genevera I. Allen, JASA, August 2020

Handbook of Graphical Models

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Albert H. Teich, Director, Science and Policy Programs, American Association for the Advancement of Science

'The future context for dealing with risk will be unlike anything we have known, and the policies of the past will not provide the protection we need. The authors of Governing Uncertainty have made an important contribution to getting the discussion started.'
From the Foreword by J. Clarence (Terry) Davies

'Christopher Bosso has assembled a group of outstanding researchers to examine in depth what government must do to investigate and, when required, regulate the effect of nanotechnology on the environment. This volume provides numerous insights into the challenges legislators and environmental policymakers will face in this new century as they try to manage this new technology.'
Sheldon Kamieniecki, University of California, Santa Cruz and President, Public Policy Section, American Political Science Association

'A superb collection that explores nanotechnology and its largely unknown but significant societal risks. The authors' thoughtful assessment of these risks and of the institutions, policies, and procedures necessary to manage them merits serious attention by both scholars and policymakers.'
Michael E. Kraft, University of Wisconsin-Green Bay

Environmental Regulation in the Age of Nanotechnology

Governing Uncertainty

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Ensemble Classification Methods with Applications in R

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