Intuitive Biostatistics
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Intuitive Biostatistics
Author | : Harvey Motulsky |
Publsiher | : Oxford University Press, USA |
Total Pages | : 508 |
Release | : 2010 |
Genre | : Medical |
ISBN | : 9780199730063 |
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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, Completely Revised Second Edition, provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists.
Intuitive Biostatistics
Author | : Harvey Motulsky |
Publsiher | : Oxford University Press, USA |
Total Pages | : 608 |
Release | : 2017-11-15 |
Genre | : Medical |
ISBN | : 0190643560 |
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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. "--
Essential Biostatistics
Author | : Harvey Motulsky |
Publsiher | : Oxford University Press |
Total Pages | : 209 |
Release | : 2016 |
Genre | : Biometry |
ISBN | : 9780199365067 |
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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 perspectives on how to interpret published statistical results, and points out common conceptual traps to avoid. It can be used as a stand-alone text or as a supplement to a traditional statistics textbook.
Easy Interpretation of Biostatistics E Book
Author | : Gail F. Dawson |
Publsiher | : Elsevier Health Sciences |
Total Pages | : 208 |
Release | : 2012-04-20 |
Genre | : Medical |
ISBN | : 9781455742356 |
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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, so that concepts build upon one another, maximizing understanding. This book will give you the confidence to appraise the existing literature - and the vocabulary you need to discuss it. Uses an easy-to-understand presentation and writing style to make the material easily accessible. Places its emphasis on concepts, not formulas, for more clinical-based guidance. Focuses on practical applications of biostatistics to medical practice to give you a better understanding of how and why research is conducted. Presents concise but comprehensive coverage to create easily accessible yet complete information. Provides examples, analogies, and memorization tips to make the material easier to absorb.
Biostatistics
Author | : Wayne W. Daniel,Chad L. Cross |
Publsiher | : Wiley |
Total Pages | : 720 |
Release | : 2018-11-13 |
Genre | : Medical |
ISBN | : 9781119282372 |
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The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference.
Fitting Models to Biological Data Using Linear and Nonlinear Regression
Author | : Harvey Motulsky,Arthur Christopoulos |
Publsiher | : Oxford University Press |
Total Pages | : 352 |
Release | : 2004-05-27 |
Genre | : Mathematics |
ISBN | : 0198038348 |
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Most biologists use nonlinear regression more than any other statistical technique, but there are very few places to learn about curve-fitting. This book, by the author of the very successful Intuitive Biostatistics, addresses this relatively focused need of an extraordinarily broad range of scientists.
Regression Methods in Biostatistics
Author | : Eric Vittinghoff,David V. Glidden,Stephen C. Shiboski,Charles E. McCulloch |
Publsiher | : Springer Science & Business Media |
Total Pages | : 526 |
Release | : 2012 |
Genre | : Education |
ISBN | : 9781461413523 |
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This fresh edition, substantially revised and augmented, provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics. The examples used, analyzed using Stata, can be applied to other areas.
Practical Statistics for Medical Research
Author | : Douglas G. Altman |
Publsiher | : CRC Press |
Total Pages | : 624 |
Release | : 1990-11-22 |
Genre | : Mathematics |
ISBN | : 9781000228816 |
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Most medical researchers, whether clinical or non-clinical, receive some background in statistics as undergraduates. However, it is most often brief, a long time ago, and largely forgotten by the time it is needed. Furthermore, many introductory texts fall short of adequately explaining the underlying concepts of statistics, and often are divorced