Medical Statistics (eBook)

STEPHEN J. WALTERS is Professor of Medical Statistics and Clinical Trials in the School of Health and Related Research (ScHARR) at the University of Sheffield, UK. Stephen is a prolific researcher and writer, including the popular textbooks How to Display Data and How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research. He is a National Institute for Health Research (NIHR) Senior Investigator, and has developed several courses on teaching medical statistics to medical and health science students, clinicians and allied health professionals. 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: Statistics at Square One, Statistics at Square Two, Sample Size Tables for Clinical Studies, and How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research. DAVID MACHIN is Emeritus Professor of Medical Statistics in the School of Health and Related Research (ScHARR) at the University of Sheffield, UK. He was Foundation Director of the National Medical Research Council, Clinical Trials and Epidemiology Research Unit, Singapore, and Head of the MRC Cancer Trials Office, Cambridge, UK. He has published more than 250 peer reviewed articles, and several books on a wide variety of topics in statistics and medicine. His earlier experience included posts at the Universities of Wales, Leeds, Stirling, Southampton and Sheffield, a period with the European Organisation for Research and Treatment of Cancer in Brussels, Belgium, and at the World Health Organization in Geneva, Switzerland.

Preface, xxx

1 Uses and Abuses of Medical Statistics

2 Displaying and summarising data

3. Summary measures for binary data

4 Probability and distributions

5 Populations, Samples, Standard Errors and Confidence Intervals

6 Hypothesis testing, P-values and statistical inference

7 Comparing two or more groups with continuously measured data

8 Comparing groups of binary and categorical data

9 Correlation and linear regression

10 Logistic Regression

11 Survival Analysis

12 Reliability and Method Comparison Studies

13 Evaluation of diagnostic tests

14 Observational Studies

15 The Randomised Controlled Trial

16 Sample Size Issues

17 Other statistical methods

18 Meta-analysis

19 Common Mistakes and Pitfalls

References, xxx

Solutions to exercises, xxx

Statistical Tables, xxx

Index, xxx