Biology, images, analysis, design...
Use/Abuse Stat.Book Beginners Stats & R
"It has long been an axiom of mine that the little things are infinitely the most important" (Sherlock Holmes)


image copyright Shutterstock/ YAKOBCHUK VASYL, 18percentgrey

  How to Get on Top of Statistics
(or avoiding and detecting statistical malpractice)
Design and analysis for biologists, with R
Authors: Bob Brightwell and Bob Dransfield
Publisher: InfluentialPoints (2013)
Price: 24.99 (free to try)
Delivery: Free and immediate: Download  55MB setup-file for Windows.
Format: Hyperbook (advanced-format hypertext ebook including Windows viewer).
1200 hypertext pages (= 4000 A4 pages). 6000 illustrations. 100's of worked examples. 1000's of notes & refs, + R-code. R is free. Download R 
Description: This is a practical, up-to-date, interactive biostatistics course and reference work for undergraduate or postgraduate biologists.
-  It shows how readily malpractice can be identified in statistical analyses, and critically evaluates a huge variety of medical, veterinary, and ecological examples.
-  It evaluates the reasons for statistical malpractice, from ignorance to mistakes to fraud.
-  It clarifies the conflicting terminology, explains the statistical controversies, and reviews common errors in design, analysis and interpretation.
-  It describes the popular study designs, plus many advanced ones - and examines their reasoning, strengths and weaknesses.
-  It explores the reasoning behind statistical analyses (including worked examples) and explains how they are affected by their assumptions, study design, and data.
-  It uses simulation models to explore the logic and assumptions that underlie the standard formulae, and exposes their behaviour when those assumptions hold - or when they fail.

If you want to publish worthwhile results, or defend your conclusions, or critically evaluate others' work, this is invaluable.

home  sitemap  about us