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BASIC STATISTICS AND EPIDEMIOLOGY
a practical guide
Third Edition
2010208 pages Paperback
ISBN-10 1846194113 ISBN-13 9781846194115
£23.99
$49.95

Antony Stewart, Professor in Public Health, Staffordshire University

Description

This straightforward primer in basic statistics emphasizes its practical use in epidemiology and public health, providing understanding of essential topics such as study design, data analysis and statistical methods used in the execution of medical research.

This new edition is substantially revised and includes entirely new material on statistical power and sample size. Clearly worded and assuming no prior knowledge, it gives full step-by-step guidance on performing statistical calculations. It contains numerous examples and exercises with detailed answers to help readers grasp the main points of these complex subjects with ease, providing doctors, nurses, health managers, researchers and students with a concise and practical guide.

Comments on previous editions:
‘A spectacular approach to writing a book of this nature. I have found it to be very useful in my day-to-day work activities. I would have loved to have this sort of book when I was in University. It gives a detailed orientation for beginners and a great review for those wanting to look up a topic without the exhausting details.’
Jocelyn Murray, Epidemiologist, NASA, USA
‘This is probably the clearest and best presented statistics book I have read. I will definitely be keeping a copy on my bookshelf!’
Clinical Oncology
‘An excellent book - clear and well written, providing a really good basic grounding in both statistics and epidemiology.’
Nick Spencer, Professor of Child Health, Warwick University

Contents

bullet What are statistics?  bullet Populations and samples  bullet Random sampling  bullet Presenting data  bullet Frequencies, percentages, proportions and rates  bullet Types of data  bullet Mean, median and mode  bullet Centiles  bullet Standard deviation  bullet Standard error  bullet Normal distribution  bullet Confidence intervals  bullet Probability  bullet Hypothesis tests and P-values  bullet The t-test  bullet Parametric and non-parametric tests  bullet Correlation and linear regression  bullet Analysis of variance  bullet Correlation and regression  bullet Chi-squared  bullet Statistical power and sample size  bullet What is epidemiology?  bullet Bias and confounding  bullet Measuring disease frequency  bullet Measuring association in epidemiology  bullet Prevalence studies  bullet Questionnaires  bullet Cohort studies  bullet Randomised controlled trials  bullet Screening  bullet Evidence-based healthcare  

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