STATISTICS AT SQUARE ONE

The new edition of the popular introduction to the world of statistics for health care professionals and medical students

First published nearly three decades ago, Statistics at Square One remains one of the most popular introductions to medical statistics. Now in its twelfth edition, this international bestseller continues to be a must-have resource for anyone in need of a thorough introduction to statistics in the health sciences. Clear and accessible chapters help students with no previous background in the subject understand fundamental topics including summary statistics for quantitative and binary data, diagnostic and screening tests, populations and samples, survival analysis, correlation and regression, study design, computer modeling, and more.

This edition reflects contemporary understanding of medical statistics and emphasizes the importance of statistics in public health, including extensively updated coverage of diagnostic tests and new COVID-related examples. All figures and examples now include code to reproduce them in the R statistical software. New chapters cover the basics for understanding numbers and introduce the use of models in medical statistical analysis. Based on the author's many years of experience teaching medical and health science students, the latest edition of this classic textbook:

• Highlights the connections between different medical statistics methods
• Emphasizes the proper use of p-values in testing
• Features practical examples from recent literature
• Contains end-of-chapter exercises with answers, some of which are based on the Royal College of General Practitioners (RCGP) Advanced Knowledge Test

Statistics at Square One is required reading for all medical and health care practitioners and students wanting to understand the use and value of statistical analysis in the health sciences.

Autorentext

Michael J. Campbell is Emeritus Professor of Medical Statistics in the School of Health and Related Research (ScHARR) at the University of Sheffield, UK. Mike is a leading researcher in medical statistics and clinical trials with a national and international reputation. A prolific writer, Mike has written many best-selling textbooks on medical statistics and clinical trials including: Medical Statistics: A Textbook for the Health Sciences, Statistics at Square Two, Sample Size Tables for Clinical Studies, How to Display Data and How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research.

Klappentext

The new edition of the popular introduction to the world of statistics for health care professionals and medical students

First published nearly three decades ago, Statistics at Square One remains one of the most popular introductions to medical statistics. Now in its twelfth edition, this international bestseller continues to be a must-have resource for anyone in need of a thorough introduction to statistics in the health sciences. Clear and accessible chapters help students with no previous background in the subject understand fundamental topics including summary statistics for quantitative and binary data, diagnostic and screening tests, populations and samples, survival analysis, correlation and regression, study design, computer modeling, and more.

This edition reflects contemporary understanding of medical statistics and emphasizes the importance of statistics in public health, including extensively updated coverage of diagnostic tests and new COVID-related examples. All figures and examples now include code to reproduce them in the R statistical software. New chapters cover the basics for understanding numbers and introduce the use of models in medical statistical analysis. Based on the author's many years of experience teaching medical and health science students, the latest edition of this classic textbook:

• Highlights the connections between different medical statistics methods
• Emphasizes the proper use of p-values in testing
• Features practical examples from recent literature
• Contains end-of-chapter exercises with answers, some of which are based on the Royal College of General Practitioners (RCGP) Advanced Knowledge Test Statistics at Square One is required reading for all medical and health care practitioners and students wanting to understand the use and value of statistical analysis in the health sciences.

Zusammenfassung
STATISTICS AT SQUARE ONE The new edition of the popular introduction to the world of statistics for health care professionals and medical studentsFirst published nearly three decades ago, Statistics at Square One remains one of the most popular introductions to medical statistics. Now in its twelfth edition, this international bestseller continues to be a must-have resource for anyone in need of a thorough introduction to statistics in the health sciences. Clear and accessible chapters help students with no previous background in the subject understand fundamental topics including summary statistics for quantitative and binary data, diagnostic and screening tests, populations and samples, survival analysis, correlation and regression, study design, computer modeling, and more.This edition reflects contemporary understanding of medical statistics and emphasizes the importance of statistics in public health, including extensively updated coverage of diagnostic tests and new COVID-related examples. All figures and examples now include code to reproduce them in the R statistical software. New chapters cover the basics for understanding numbers and introduce the use of models in medical statistical analysis. Based on the author's many years of experience teaching medical and health science students, the latest edition of this classic textbook:

• Highlights the connections between different medical statistics methods
• Emphasizes the proper use of p-values in testing
• Features practical examples from recent literature
• Contains end-of-chapter exercises with answers, some of which are based on the Royal College of General Practitioners (RCGP) Advanced Knowledge TestStatistics at Square One is required reading for all medical and health care practitioners and students wanting to understand the use and value of statistical analysis in the health sciences.

Inhalt
Preface ix

About the companion website xi

Chapter 1 Understanding basic numbers 1

Chapter 2 Data display and summary 15

Chapter 3 Summary statistics for quantitative data 31

Chapter 4 Summary statistics for binary data 46

Chapter 5 Diagnostic and screening tests 61

Chapter 6 Populations and samples 78

Chapter 7 Statements of probability and confidence intervals 91

Chapter 8 P values, power, type I and type II errors 102

Chapter 9 Tests for differences between two groups of a quantitative outcome with small samples 118

Chapter 10 Tests for association in binary and categorical data 146

Chapter 11 Correlation and regression 165

Chapter 12 Survival analysis 183

Chapter 13 Modelling data 195

Chapter 14 Study design and choosing a statistical test 215

Chapter 15 Use of computer software 227

Answers to exercises 256

Glossary 268

Appendix 278

Index 279