Medical Statistics Made Easy

Martin Harris, General Practitioner and Lecturer, Bath, UKGordon Taylor, Senior Research Fellow in Medical Statistics, University of Bath, UK

All clinicians need to be able to critically appraise the evidence that underliestheir actions. To be able to do this, they dont need to know how to do astatistical analysis. They do, however, need to know whether the right test hasbeen used and how to interpret the results. Medical Statistics Made Easyaddresses that need and explains in simple terms how to interpret the statisticsthat are used in medical scientific papers.

It is designed for all healthcare professionals and students who need a basicknowledge of when common statistal terms are used and what they mean. Itdoes not assume that readers have any prior statistical knowledge. Howeverbasic their mathematical or statistical knowledge, they will find that everythingis clearly explained.

The authors, one a medical statistician, the other a medical educator, gradeeach statistical concept by importance and ease of understanding. Thesegradings help readers pick out concepts that suit their level of understanding,or the most important concepts if they are short of time. The book thereforecaters both for readers that are bewildered by medical statistics and for thosethat want to learn about more complex concepts.

The book has been designed to be popular with a broad range of healthcareprofessionals, whether for examination preparation or help with criticallyappraising papers:

Doctors, both GPs and hospital doctors, who need to read papers for helpwith management or prescribing decisions

Nurses and allied health professionals (some of the practical examples givenare specifically tailored to these groups)

Postgraduate students - the book has already proved to be particularlypopular with GP Registrars in preparation for the MRCGP examination

Medical and other healthcare students

September 2003: 234x156: 256pp:Pb: 1-84184-219-X: 12.99

1. How to Use this Book 2. How this Book is Designed 3.Statistics Which Describe Data: Percentages, Mean, Median,Mode, Standard Deviation 4. Statistics Which TestConfidence: Confidence Intervals, P Values 5. Statistics WhichTest Differences: t Tests and Other Parametric Tests, Mann-Whitney and Other Non-parametric Tests, Chi-squared 6.Statistics Which Compare Risk: Risk Ratio, Odds Ratio, RiskReduction and Numbers Needed to Treat 7. Statistics WhichAnalyze Relationships: Correlation, Regression 8. StatisticsWhich Analyze Survival: Survival Analysis: Life Tables and

Kaplan Meier Plots, The Cox Regression Model 9. StatisticsWhich Analyze Clinical Investigations and Screening:Sensitivity, Specificity and Predictive Value, Level ofAgreement and Kappa 10. Other Concepts 11. Statistics AtWork: Standard Deviation, Relative Risk, Confidence Intervals,Chi-squared and P Values, Odds Ratios and ConfidenceIntervals, Correlation and Regression, Survival Analysis andRisk Reduction, Sensitivity, Specificity and Predictive Values12. Glossary

CONTENTS

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Pb 1-84184-219-X 12.99Medical Statistics Made Easy

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