Intuitive Biostatistics


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Intuitive Biostatistics


Intuitive Biostatistics

Author: Harvey Motulsky

language: en

Publisher: Oxford University Press, USA

Release Date: 2010


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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


Intuitive Biostatistics

Author: Harvey Motulsky

language: en

Publisher: Oxford University Press, USA

Release Date: 2017-11-15


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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. "--

Fitting Models to Biological Data Using Linear and Nonlinear Regression


Fitting Models to Biological Data Using Linear and Nonlinear Regression

Author: Harvey Motulsky

language: en

Publisher: Oxford University Press

Release Date: 2004-05-27


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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.