The Analysis of Biological DataThe Analysis of Biological Data is a new approach to teaching introductory statistics to biology students. To reach this unique audience, Whitlock and Schluter motivate learning with interesting biological and medical examples; they emphasize intuitive understanding; and they focus on real data. The book covers basic topics in introductory statistics, including graphs, confidence intervals, hypothesis testing, comparison of means, regression, and designing experiments. It also introduces the principles behind such modern topics as likelihood, linear models, meta-analysis and computer-intensive methods. Instructors and students consistently praise the book's clear and engaging writing, strong visualization techniques, and its variety of fascinating and relevant biological examples. |
From inside the book
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... study on any phe- nomenon that we care about . 21.2 The power of meta - analysis One of the most useful aspects of meta - analysis is that it can greatly increase the sta- tistical power of our collective statistical tests . Any one study ...
... meta - analysis was to combine the multiple studies - in effect , to create one large study with more power than any of the single studies . A meta - analysis of such a homogeneous set of studies is called a " fixed - effect " meta - ...
... Meta - analysis can increase power and reduce the Type II error rate — that is , com- bining across studies makes it easier to reject a false null hypothesis . In some cases , however , meta - analysis may have a much higher chance of ...
Contents
INTRoduction to STATISTICS | 1 |
INTERLEAF | 11 |
REGRESSION AND CORRELATION | 16 |
Copyright | |
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