BASIC STATISTICS AND EPIDEMIOLOGY
a practical guide
Third Edition
2010208 pages Paperback
ISBN-10 1846194113
ISBN-13 9781846194115
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
What are statistics? Populations and samples Random sampling Presenting data Frequencies, percentages, proportions and rates Types of data Mean, median and mode Centiles Standard deviation Standard error Normal distribution Confidence intervals Probability Hypothesis tests and P-values The t-test Parametric and non-parametric tests Correlation and linear regression Analysis of variance Correlation and regression Chi-squared Statistical power and sample size What is epidemiology? Bias and confounding Measuring disease frequency Measuring association in epidemiology Prevalence studies Questionnaires Cohort studies Randomised controlled trials Screening Evidence-based healthcare
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