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Biostatistical Design and Analysis Using R: A Practical Guide

Student Companion Site

Table Of Contents

Chapter 1: Introduction to R 1

Chapter 2: Datasets

Chapter 3: Introductory statistical principles

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Chapter 4: Sampling and experimental design with R

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Chapter 5: Graphical data presentation

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Chapter 6: Simple hypothesis testing

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Chapter 7: Introduction to Linear models

Chapter 8: Correlation and simple linear regression

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Chapter 9: Mulitple and curvilinear regression

Chapter 10: Single factor classification

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Chapter 11: Nested ANOVA

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Chapter 12: Factorial ANOVA

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Chapter 13: Unreplicated factorial designs - randomized block and simple repeated measures

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Chapter 14: Partly nested designs: split plot and complex repeated measures

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Chapter 15: Analysis of covariance (ANCOVA)

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Chapter 16: Simple Frequency Analysis

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Chapter 17: Generalized linear models (GLM)

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