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Applied Categorical Data Analysis and Translational Research
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Applied Categorical Data Analysis and Translational Research
$26899
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
Ideal for upper-undergraduate and graduate students studying applied statistics or biostatistics, as well as researchers and practitioners in biomedical and public health fields seeking practical and in-depth statistical methodologies.
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See moreThis new edition continues to provide basic, comprehensive coverage of key methods in categorical data analysis with multiple variables. Maintaining the same nontechnical, user-friendly approach, coverage has been added to the Second Edition to take the topic of categorical data analysis into a more applied direction.
Book Hero Magic formatted this description to make it easier to read. While it's new and
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Description
An updated treatment of categorical data analysis in the biomedical sciences that now explores applications to translational research
Thoroughly updated with the latest advances in the field, Applied Categorical Data Analysis and Translational Research, Second Edition maintains the accessible style of its predecessor while also exploring the importance of translational research as it relates to basic scientific findings within clinical practice. With its easy-to-follow style, updated coverage of major methodologies, and broadened scope of coverage, this new edition provides an accessible guide to statistical methods involving categorical data and the steps to their application in problem-solving in the biomedical sciences.
Delving even further into the applied direction, this update offers many real-world examples from biomedicine, epidemiology, and public health along with detailed case studies taken straight from modern research in these fields. Additional features of the Second Edition include:
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A new chapter on the relationship between translational research and categorical data, focusing on design study, bioassay, and Phase I and Phase II clinical trials
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A new chapter on categorical data and diagnostic medicine, with coverage of the diagnostic process, prevalence surveys, the ROC function and ROC curve, and important statistical considerations
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A revised chapter on logistic regression models featuring an updated treatment of simple and multiple regression analysis
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An added section on quantal bioassays
Each chapter features updated and new exercise sets along with numerous graphs that demonstrate the highly visual nature of the topic. A related website features the book's examples as well as additional data sets that can be worked with using SAS® software.
The only book of its kind to provide balanced coverage of methods for both categorical data and translational research, Applied Categorical Data Analysis and Translational Research, Second Edition is an excellent book for courses on applied statistics and biostatistics at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners in the biomedical and public health fields.
Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?
"The book works out, in painstaking detail, many analytical and numerical examples." – Journal of Biopharmaceutical Statistics, 2010
Book Details
INFORMATION
ISBN: 9780470371305
Publisher: John Wiley & Sons Inc
Format: Paperback / softback
Date Published: 12 January 2010
Country: United States
Imprint: John Wiley & Sons Inc
Edition: 2nd edition
Illustration: Charts: 0 B&W, 0 Color; Photos: 3 B&W, 0 Color; Drawings: 5 B&W, 0 Color; Graphs: 8 B&W, 0 Color
Audience: Tertiary education
DIMENSIONS
Spine width: 18.0mm
Width: 156.0mm
Height: 235.0mm
Weight: 572g
Pages: 416
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About the Author
Chap T. Le, PhD, is Distinguished Professor and Director of Biostatistics at the University of Minnesota Cancer Center. In addition to providing statistical consulting for a variety of biomedical research projects, he has worked on collaborations that have focused on the analyses of survival and categorical data and, currently, in the areas of cancer and tobacco research. Dr. Le is the author of Health and Numbers: A Problems-Based Introduction to Biostatistics, Third Edition; Introductory Biostatistics; and Applied Survival Analysis, all published by Wiley.
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