Medical Statistics Made Easy, 4th edition

by Michael Harris, Gordon Taylor TAYLOR

Overview

Contains all you need to know to understand statistics in medicine.

Medical Statistics Made Easy has been a perennial bestseller since the first edition was published (it is consistently a #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. It is ideal for non-statisticians who need to understand how statistics are used and applied in medicine and medical research.

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 wider range of medical journals.

This fourth edition continues with the same structure as the previous editions, with new sections on cut-off points and ROC curves, as well as a new chapter on choosing the right statistical test. It also features a completely revised and updated "Statistics at work" section.

Product Details

ISBN-13:	9781911510635
Publisher:	Scion Publishing Ltd.
Publication date:	12/15/2020
Edition description:	Fourth Edition
Pages:	140
Product dimensions:	6.14(w) x 9.21(h) x 0.40(d)

Table of Contents

Abbreviations vii

Preface ix

About the authors x

Ch 1 How to use this book 1

Ch 2 How this book is designed 3

Ch 3 Percentages 6

Ch 4 Mean 9

Ch 5 Median 12

Ch 6 Mode 14

Ch 7 Standard deviation 16

Statistics which test confidence

Ch 8 Confidence intervals 20

Ch 9 P values 24

Statistics which test differences

Ch 10 t tests and other parametric tests 29

Ch 11 Mann-Whitney and other non-parametric tests 32

Ch 12 Chi-squared test 35

Statistics which compare risk

Ch 13 Risk ratio 38

Ch 14 Odds ratio 41

Ch 15 Risk reduction and number needed to treat 44

Statistics which analyse relationships

Ch 16 Correlation 49

Ch 17 Regression 54

Statistics which analyze survival

Ch 18 Survival analysis: life tables and Kaplan-Meier plots 58

Ch 19 The Cox regression model 62

Statistics which analyze clinical investigations and screening

Ch 20 Sensitivity, specificity and predictive value 64

Ch 21 Level of agreement 71

Other concepts

Ch 22 Other concepts 73

Statistics at work

Ch 23 Introduction 78

Ch 24 Means, standard deviations, medians and odds ratios 79

Ch 25 Confidence intervals and number needed to treat 83

Ch 26 Correlation and regression 88

Ch 27 Survival analysis 92

Ch 28 Sensitivity, specificity and predictive values 97

Ch 29 Choosing the right statistical test 103

Glossary 105

Index 127