Intuitive biostatistics : a nonmathematical guide to statistical thinking /

"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 an...

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Autor principal: Motulsky, Harvey.
Formato: Livro
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Assuntos:
Medicine
Research
Statistical methods.
Biometria
metodos.
Biomedical Research
methods.
Endereço do item:https://app.bczm.ufrn.br/home/#/item/189742
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spelling oai:localhost:123456789-1247082022-11-30T23:19:40Z Intuitive biostatistics : a nonmathematical guide to statistical thinking / Motulsky, Harvey. Medicine Research Statistical methods. Biometria metodos. Biomedical Research methods. "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. New to this edition: Chapter 1 shows how our intuitions lead us to misinterpret data, thus explaining the need for statistical rigor. Chapter 11 explains the lognormal distribution, an essential topic omitted from many other statistics books. Chapter 21 contrasts testing for equivalence with testing for differences. Chapters 22, 23, and 40 explore the pervasive problem of multiple comparisons. Chapters 24 and 25 review testing for normality and outliers. Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models. Chapters 37 and 38 provide a brief introduction to multiple, logistic, and proportional hazards regression. Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes. Chapter 47 includes 49 multi-part problems, with answers fully discussed in Chapter 48. New "Q and A" sections throughout the book review key concepts"--Provided by publisher. 3 2022-10-06T06:19:50Z 2022-10-06T06:19:50Z 2010. Livro 57.087.1 M922i 9780199730063 (pbk. : alk. paper)#$&0199730067 (pbk. : alk. paper) 189742 https://app.bczm.ufrn.br/home/#/item/189742 https://app.bczm.ufrn.br/home/#/item/189742
institution Acervo SISBI
collection SIGAA
topic Medicine
Research
Statistical methods.
Biometria
metodos.
Biomedical Research
methods.
spellingShingle Medicine
Research
Statistical methods.
Biometria
metodos.
Biomedical Research
methods.
Motulsky, Harvey.
Intuitive biostatistics : a nonmathematical guide to statistical thinking /
description "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. New to this edition: Chapter 1 shows how our intuitions lead us to misinterpret data, thus explaining the need for statistical rigor. Chapter 11 explains the lognormal distribution, an essential topic omitted from many other statistics books. Chapter 21 contrasts testing for equivalence with testing for differences. Chapters 22, 23, and 40 explore the pervasive problem of multiple comparisons. Chapters 24 and 25 review testing for normality and outliers. Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models. Chapters 37 and 38 provide a brief introduction to multiple, logistic, and proportional hazards regression. Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes. Chapter 47 includes 49 multi-part problems, with answers fully discussed in Chapter 48. New "Q and A" sections throughout the book review key concepts"--Provided by publisher.
format Livro
author Motulsky, Harvey.
author_facet Motulsky, Harvey.
author_sort Motulsky, Harvey.
title Intuitive biostatistics : a nonmathematical guide to statistical thinking /
title_short Intuitive biostatistics : a nonmathematical guide to statistical thinking /
title_full Intuitive biostatistics : a nonmathematical guide to statistical thinking /
title_fullStr Intuitive biostatistics : a nonmathematical guide to statistical thinking /
title_full_unstemmed Intuitive biostatistics : a nonmathematical guide to statistical thinking /
title_sort intuitive biostatistics : a nonmathematical guide to statistical thinking /
publishDate 2022
url https://app.bczm.ufrn.br/home/#/item/189742
work_keys_str_mv AT motulskyharvey intuitivebiostatisticsanonmathematicalguidetostatisticalthinking
_version_ 1766827119090860032

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