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The Biostatistics Cookbook: The Most User-Friendly Guide for the Bio/Medical Scientist

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Good statistical design of experimental and analytical methods is a fundamental component of successful research. The set of tools that has evolved to implement these processes of design and analysis is called Biostatistics. Using these tools blindly or by rote is a recipe for failure. The Biostatistics Cookbook is intended for research scientists who want to understand why they do a particular test or analysis as well as how to do it. It is meant as an interpreter as well as a guide, helping the researcher to illuminate and communicate his or her results as accurately, concisely, and universally as possible.

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CONTENTS
Introduction 1 Description Populations, distributions and samples Measures of central tendency Data dispersion, noise and error Graphics 2 Inference Comparing a sample mean to a population with known mean and variance-the one sample z-test Comparing a sample mean to a population with known mean and unknown variance-the one sample t-test Comparing before and after data-the two sample paired t-test Comparing two means-the two sample unpaired t-test Comparing three or more means-the one way analysis of variance Comparing two or more proportions: proportions tests and chi-)square ( Distribution-free measures: non-parametric statistics 3 Estimation Data relationships: association and correlation Data relationships: mathematical models and linear regression Complex data relationships: mathematical models and non-linear regression 4 Design of a statistical experiment Index
1 3 5 9 18 28 45
48
55
62 68
77
90 104 117 119
128
140 149 169
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