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Medical Statistics Made Easy, 4th edition

✍ Scribed by Michael Harris, Gordon Taylor TAYLOR


Publisher
Scion Publishing Ltd.
Year
2020
Tongue
English
Leaves
142
Edition
4
Category
Library

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✦ Synopsis


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.

✦ Table of Contents


Cover
IFC Pages
Half Title
Title Page
Copyright
Contents
Abbreviations
Preface
About the authors
1 How to use this book
2 How this book is designed
3 Percentages
4 Mean
5 Median
6 Mode
7 Standard deviation
8 Confidence intervals
9 P values
10 t tests and other parametric tests
11 Mann–Whitney and other non-parametric tests
12 Chi-squared test
13 Risk ratio
14 Odds ratio
15 Risk reduction and number needed to treat
16 Correlation
17 Regression
18 Survival analysis: life tables and Kaplan–Meier plots
19 The Cox regression model
20 Sensitivity, specificity and predictive value
21 Level of agreement
22 Other concepts
23 Introduction
24 Means, standard deviations, medians and odds ratios
25 Confidence intervals and number needed to treat
26 Correlation and regression
27 Survival analysis
28 Sensitivity, specificity and predictive values
29 Choosing the right statistical test
Glossary
Index


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