It will help you figure out which statistical test to use for what question and data, and what to be careful about when using them. How to avoid common issues such as pseudoreplication and multiple testing problem. We also cover basics of data visualization and experimental design.
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Statistics is a key element of today's science. Unfortunately, its ubiquity is parallelled by ubiquity of problematic use, which negatively affects interpretation of results and reproducibility.
Key issue was - how to learn practical statistics for life sciences?
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Existing books are typically too long, too complex, too mathsy, and at the same time often don't go into areas that essential for scientists.
We took an "maximum understanding, minimum maths" approach, fitting a lot of relevant content in under 200 pages.
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I wrote this together with Prof. David Eisner, and it was honestly one of the smoothest and nicest collaborations ever. You can find more about the background of the project and how it relates to punk rock here: t.co/seVYPxAth6
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The book is available through Amazon (t.co/9qvCkYKeLJ) or on the publisher website (t.co/agmYYi66IW). Many universities got it through subscription, so you can check here onlinelibrary.wiley.com/doi/book/10.... or with your library for free access.
Thanks for sharing!
Author copies of our new book on statistics (mainly) for life scientists arrived recently. After three years of work, this is exciting, especially as we really hope it can help make a positive difference.
What's so special about it?
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