## Basic Concepts in Statistics and EpidemiologyThis 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 |

### Other editions - View all

Basic Concepts in Statistics and Epidemiology Theodore H. MacDonald,Denis Pereira Gray Limited preview - 2016 |

### Common terms and phrases

actually algebra analysis ANOVA Appendix assume Atkinson Index binomial distribution binomial expansion calculate the mean called cards central tendency Chapter class interval column consider correlation corresponding degrees of freedom dice difference disease epidemiology equal example expected formula frequency Gini coefficient given graph grouped data groups variance income independent instance less level of significance Lorenz curve mathematical measure of central midpoint negative normal curve normal distribution number of permutations occurring pair parameters parametric statistical parent populations Poisson distribution population mean positive possible prediction probability space problem public health question random ranks reader result sample means scatter diagram sign test significance level situation slope standard deviation statistics straight line equation Study exercises sub-acute malaria Suppose t-test term things treatment two-tailed test values variables Wilcoxon x-axis x-value y-intercept Z-score Z-table