# Basic Concepts in Statistics and Epidemiology

Radcliffe Publishing, 2007 - Medical - 214 pages
This book contains a Foreword by Allyson Pollock, Professor and Head, Centre for International Public Health Policy, University of Edinburgh. Healthcare students, practitioners and researchers need a sound basis for making valid statistical inferences from health data. To make the best use of statistical software, it is necessary to understand how probabilistic inference works. This book explains that, along with the various ways statistical data can be described and presented. It is designed to develop insight rather than simply the mechanical skills found in other textbooks. This book is specifically designed to underpin the concepts of statistics and epidemiology. It is practical and easy to use and is ideal for people who can feel uncomfortable with mathematics. 'Excellent. A great primer for all students and research workers engaged in learning how to use statistical ideas in public health. It sets out the core concepts and explains them clearly, using worked examples as illustration. If followed carefully, the engaged reader should be able to use the standard statistical software packages intelligently and sensitively. It will stimulate the public health student, in whatever context, and new researchers, to approach the enterprise with enhanced confidence in interpreting and coherently explaining their findings.' - Allyson Pollock, in the Foreword.

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### Contents

 A necessary glimpse of probability 20 Combinations 34 An approximation to the normal curve 50 Testing samples 62 Testing small samples 77 A taste of epidemiology 86 From Binomial to Poisson 98 Nonparametric statistics 112
 The Gini coefficient 141 a measure of relatedness 149 The problem of prediction 161 Introducing ANOVA 167 A brief introduction to designing a research project 182 Appendix A Areas under the normal probability curve Ztable 190 Appendix E Wilcoxon distribution with pairing where W1 n 196 Appendix H Poisson values 202

 The Wilcoxon test for the paired case 118 Study exercises 6 128

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Fellow, Institute of Human Rights and Social Justice, Metropolitan University of London, External Examiner, Postgraduate Department of Medicine, University of Central Lancashire