- 128 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Medical Statistics Made Easy
About this book
Medical Statistics Made Easy has been a perennial bestseller since it was first published in 2003 (#1 bestseller in medical statistics on Amazon). It is widely recommend on a variety of courses and programmes, from undergraduate medicine, through to professional medical qualifications.
It is a book of key statistics principles for anyone studying or working in medicine and healthcare who needs a basic overview of the subject.
Using a consistent format, the authors describe the most common statistical methods in turn and then rate them on how difficult they are to understand and how common they are.
The worked examples that demonstrate the statistical method in action have been updated to include current articles from the medical literature and now feature a much wider range of medical journals.
This third edition continues with the same structure as the previous editions and also features a completely revised "Statistics at work" section.
Medical Statistics Made Easy 3e scores 99/100 and 5 stars on Doody's (Sept 2014)! Here's what the reviewer said:
"This is a practical guide to the use of statistics in medical literature and their application in clinical practice. The numerous examples help make the conceptualization of complex ideas easy. It is a great resource for healthcare students and clinicians in the field."
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Information
Table of contents
- Cover
- Half Title
- Title
- Copyright
- Contents
- Abbreviations
- Preface
- About the authors
- Foreword
- Ch 1 How to use this book
- Ch 2 How this book is designed
- Ch 3 Percentages
- Ch 4 Mean
- Ch 5 Median
- Ch 6 Mode
- Ch 7 Standard deviation
- Ch 8 Confidence intervals
- Ch 9 P values
- Ch 10 t tests and other parametric tests
- Ch 11 Mann–Whitney and other non-parametric tests
- Ch 12 Chi-squared test
- Ch 13 Risk ratio
- Ch 14 Odds ratio
- Ch 15 Risk reduction and numbers needed to treat
- Ch 16 Correlation
- Ch 17 Regression
- Ch 18 Survival analysis: life tables and Kaplan–Meier plots
- Ch 19 The Cox regression model
- Ch 20 Sensitivity, specificity and predictive value
- Ch 21 Level of agreement
- Ch 22 Other concepts
- Ch 23 Introduction
- Ch 24 Medians, interquartile ranges and odds ratios
- Ch 25 Risk ratios and number needed to treat
- Ch 26 Correlation and regression
- Ch 27 Survival analysis
- Ch 28 Sensitivity, specificity and predictive values
- Glossary
- Index