Intuitive Biostatistics PDF Books

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Intuitive Biostatistics

Intuitive Biostatistics
Author: Harvey Motulsky
Publisher: Oxford University Press, USA
ISBN: 9780190643560
Size: 74.34 MB
Format: PDF, Mobi
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" Intuitive Biostatistics takes a non-technical, non-quantitative approach to statistics and emphasizes interpretation of statistical results rather than the computational strategies for generating statistical data. This makes the text especially useful for those in health-science fields who have not taken a biostatistics course before. The text is also an excellent resource for professionals in labs, acting as a conceptually oriented and accessible biostatistics guide. With an engaging and conversational tone, Intuitive Biostatistics provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists. "--
Intuitive Biostatistics
Language: un
Pages: 608
Authors: Harvey Motulsky
Categories: Medical
Type: BOOK - Published: 2017-11-15 - Publisher: Oxford University Press, USA
" Intuitive Biostatistics takes a non-technical, non-quantitative approach to statistics and emphasizes interpretation of statistical results rather than the computational strategies for generating statistical data. This makes the text especially useful for those in health-science fields who have not taken a biostatistics course before. The text is also an excellent
Intuitive Biostatistics
Language: en
Pages: 386
Authors: Harvey Motulsky
Categories: Medical
Type: BOOK - Published: 1995 - Publisher: Oxford University Press, USA
Designed to provide a nonmathematical introduction to biostatistics for medical and health science students, graduate students in the biological sciences, physicians, and researchers, this text explains statistical principles in non-technical language and focuses on explaining the proper scientific interpretation of statistical tests rather than on the mathematical logic of the
Essential Biostatistics
Language: en
Pages: 208
Authors: Harvey Motulsky
Categories: Biometry
Type: BOOK - Published: 2015-06-25 - Publisher: Oxford University Press
With its engaging and conversational tone, Essential Biostatistics: A Nonmathematical Approach provides a clear introduction to statistics for students in a wide range of fields, and a concise statistics refresher for scientists and professionals who need to interpret statistical results. It explains the ideas behind statistics in nonmathematical terms, offers
Intuitive Biostatistics
Language: un
Pages: 386
Authors: Harvey Motulsky
Categories: Medical
Type: BOOK - Published: 1995 - Publisher: Oxford University Press, USA
Designed to provide a nonmathematical introduction to biostatistics for medical and health science students, graduate students in the biological sciences, physicians, and researchers, this text explains statistical principles in non-technical language and focuses on explaining the proper scientific interpretation of statistical tests rather than on the mathematical logic of the
Intuitive Biostatistics
Language: en
Pages: 447
Authors: Harvey Motulsky
Categories: Medical
Type: BOOK - Published: 2010 - Publisher: Oxford University Press, USA
"Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains and refines the core perspectives of the previous edition: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions and common mistakes. Intuitive Biostatistics,
Easy Interpretation of Biostatistics E-Book
Language: en
Pages: 208
Authors: Gail F. Dawson
Categories: Medical
Type: BOOK - Published: 2012-04-20 - Publisher: Elsevier Health Sciences
Learn biostatistics the easy way. This outstanding resource presents the key concepts you need to understand biostatistics and how to apply them in clinical medicine. Easy-to-understand examples and analogies explain complex concepts, and practical applications provide you with real tools for use in daily practice. The book’s organization is intuitive,
How to Read a Paper
Language: en
Pages: 288
Authors: Trisha Greenhalgh
Categories: Medical
Type: BOOK - Published: 2019-05-06 - Publisher: John Wiley & Sons
Required reading in many medical and healthcare institutions, How to Read a Paper is a clear and wide-ranging introduction to evidence-based medicine and healthcare, helping readers to understand its central principles, critically evaluate published data, and implement the results in practical settings. Author Trisha Greenhalgh guides readers through each fundamental
Medical Uses of Statistics, Second Edition
Language: en
Pages: 480
Authors: Bailar/Mostelle
Categories: Mathematics
Type: BOOK - Published: 1992-03-01 - Publisher: CRC Press
Explains the purpose of statistical methods in medical studies & analyzes the statistical techniques used by clinical investigators, with special emphasis on studies published in The New England Journal of Medicine. Clarifies fundamental concepts of statistical design & analysis & facilitates the understanding of research results.
Basic Biostatistics for Geneticists and Epidemiologists
Language: en
Pages: 384
Authors: Robert C. Elston, William Johnson
Categories: Medical
Type: BOOK - Published: 2008-11-20 - Publisher: John Wiley & Sons
Anyone who attempts to read genetics or epidemiology research literature needs to understand the essentials of biostatistics. This book, a revised new edition of the successful Essentials of Biostatistics has been written to provide such an understanding to those who have little or no statistical background and who need to
Regression Methods in Biostatistics
Language: en
Pages: 512
Authors: Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski, Charles E. McCulloch
Categories: Medical
Type: BOOK - Published: 2012-03-06 - Publisher: Springer Science & Business Media
This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and