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      Statistics review 7: Correlation and regression

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          Abstract

          The present review introduces methods of analyzing the relationship between two quantitative variables. The calculation and interpretation of the sample product moment correlation coefficient and the linear regression equation are discussed and illustrated. Common misuses of the techniques are considered. Tests and confidence intervals for the population parameters are described, and failures of the underlying assumptions are highlighted.

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          Essential Medical Statistics

          <b>Blackwell Publishing is delighted to announce that this book has been Highly Commended in the 2004 BMA Medical Book Competition. Here is the judges' summary of this book:</b><p>"This is a technical book on a technical subject but presented in a delightful way. There are many books on statistics for doctors but there are few that are excellent and this is certainly one of them. Statistics is not an easy subject to teach or write about. The authors have succeeded in producing a book that is as good as it can get. For the keen student who does not want a book for mathematicians, this is an excellent first book on medical statistics."<p><i>Essential Medical Statistics</i> is a classic amongst medical statisticians. An introductory textbook, it presents statistics with a clarity and logic that demystifies the subject, while providing a comprehensive coverage of advanced as well as basic methods.<p>The second edition of <i>Essential Medical Statistics</i> has been comprehensively revised and updated to include modern statistical methods and modern approaches to statistical analysis, while retaining the approachable and non-mathematical style of the first edition. The book now includes full coverage of the most commonly used regression models, multiple linear regression, logistic regression, Poisson regression and Cox regression, as well as a chapter on general issues in regression modelling. In addition, new chapters introduce more advanced topics such as meta-analysis, likelihood, bootstrapping and robust standard errors, and analysis of clustered data.<p>Aimed at students of medical statistics, medical researchers, public health practitioners and practising clinicians using statistics in their daily work, the book is designed as both a teaching and a reference text. The format of the book is clear with highlighted formulae and worked examples, so that all concepts are presented in a simple, practical and easy-to-understand way. The second edition enhances the emphasis on choice of appropriate methods with new chapters on strategies for analysis and measures of association and impact.<p><i>Essential Medical Statistics</i> is supported by a web site at <b>www.blackwellpublishing.com/essentialmedstats</b>. This useful online resource provides statistical datasets to download, as well as sample chapters and future updates.
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            Practical statistics for medical researched

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              Essential Medical Statistics.

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                Author and article information

                Journal
                Crit Care
                Critical Care
                BioMed Central (London )
                1364-8535
                1466-609X
                2003
                5 November 2003
                : 7
                : 6
                : 451-459
                Affiliations
                [1 ]Senior Lecturer, School of Computing, Mathematical and Information Sciences, University of Brighton, Brighton, UK
                [2 ]Lecturer in Intensive Care Medicine, St George's Hospital Medical School, London, UK
                Article
                cc2401
                10.1186/cc2401
                374386
                14624685
                a854b4a4-64ef-49e1-8663-eba89df0fe68
                Copyright © 2003 BioMed Central Ltd
                History
                Categories
                Review

                Emergency medicine & Trauma
                coefficient of determination,correlation coefficient,least squares regression line

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