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Journal ArticleDOI

Biometry: the principles and practice of statistics in biological research 2nd edition.

Sokal Rr, +1 more
- 01 Dec 1982 - 
- Vol. 77, Iss: 380, pp 946
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TLDR
The book aims to instill in students an ability to think through biological research problems in such a way as to grasp the essentials of the experimental or analytical setup to know which types of statistical tests to apply in a given case and to carry out the computations required.
Abstract
This text develops the science of biometry from an elementary introduction up to the advanced methods necessary for biological research and for an understanding of the published literature. This text is aimed primarily at the academic biologist including general zoologists botanists microbiologists geneticists and physiologists in universities research institutes and museums. This book while furnishing ample directions for the analysis of experimental works also stresses the descriptive and analytical statistical study of biological phenomena. It is intended both as a text to accompany a lecture course and as a complete course for self-study. The book aims to instill in students an ability to think through biological research problems in such a way as to grasp the essentials of the experimental or analytical setup to know which types of statistical tests to apply in a given case and to carry out the computations required. Chapters cover biological data data handling descriptive statistics probability estimation and hupothesis testing analysis of variance linear regression correlation multiple and curvilinear regression analysis of frequencies and miscellaneous methods.

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A performance constraint on the evolution of trilled vocalizations in a songbird family (passeriformes: emberizidae)

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Removing batch effects in analysis of expression microarray data: an evaluation of six batch adjustment methods.

TL;DR: It is showed that it is essential to standardize expression data at the probe level when testing for correlation of expression profiles, due to a sizeable probe effect in microarray data that can inflate the correlation among replicates and unrelated samples.
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Cosinor-based rhythmometry

TL;DR: The extended cosinor has been further developed for the analysis of long time series, focusing both on rhythm detection and parameter estimation, and ways of dealing with non-stationary data are presented.