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Now in its fourth edition, Medical Statistics at a Glance is a concise and accessible introduction to this complex subject. It provides clear instruction on how to apply commonly used statistical procedures in an easy-to-read, comprehensive and relevant volume. This new edition continues to be the ideal introductory manual and reference guide to medical statistics, an invaluable companion for statistics lectures and a very useful revision aid.

This new edition of Medical Statistics at a Glance:





Offers guidance on the practical application of statistical methods in conducting research and presenting results

Explains the underlying concepts of medical statistics and presents the key facts without being unduly mathematical

Contains succinct self-contained chapters, each with one or more examples, many of them new, to illustrate the use of the methodology described in the chapter.

Now provides templates for critical appraisal, checklists for the reporting of randomized controlled trials and observational studies and references to the EQUATOR guidelines for the presentation of study results for many other types of study

Includes extensive cross-referencing, flowcharts to aid the choice of appropriate tests, learning objectives for each chapter, a glossary of terms and a glossary of annotated full computer output relevant to the examples in the text

Provides cross-referencing to the multiple choice and structured questions in the companion Medical Statistics at a Glance Workbook




Medical Statistics at a Glance is a must-have text for undergraduate and post-graduate medical students, medical researchers and biomedical and pharmaceutical professionals.

Medical Statistics at a Glance 4th Edition

Preface





Learning objectives





Handling data





1 Types of data





2 Data entry





3 Error checking and outliers





4 Displaying data diagrammatically





5 Describing data: the 'average'





6 Describing data: the 'spread'





7 Theoretical distributions: the Normal distribution





8 Theoretical distributions: other distributions





9 Transformations





Sampling and estimation





10 Sampling and sampling distributions





11 Confidence intervals





Study design





12 Study design I





13 Study design II





14 Clinical trials





15 Cohort studies





16 Case-control studies





Hypothesis testing





17 Hypothesis testing





18 Errors in hypothesis testing





Basic techniques for analysing data





Numerical data





19 Numerical data: a single group





20 Numerical data: two related groups





21 Numerical data: two unrelated groups





22 Numerical data: more than two groups





Categorical data





23 Categorical data: a single proportion





24 Categorical data: two proportions





25 Categorical data: more than two categories





Regression and correlation





26 Correlation





27 The theory of linear regression





28 Performing a linear regression analysis





29 Multiple linear regression





30 Binary outcomes and logistic regression





31 Rates and Poisson regression





32 Generalized linear models





33 Explanatory variables in statistical models





Important considerations





34 Bias and confounding





35 Checking assumptions





36 Sample size calculations





37 Presenting results





Additional chapters





38 Diagnostic tools





39 Assessing agreement





40 Evidence-based medicine





41 Methods for clustered data





42 Regression methods for clustered data





43 Systematic reviews and meta-analysis





44 Survival analysis





45 Bayesian methods





46 Developing prognostic scores





Appendices





A Statistical tables





B Altman's nomogram for sample size calculations





C Typical computer output





D EQUATOR network checklists and critical appraisal templates





E Glossary of terms





F Chapter numbers with relevant multiple-choice questions and structured questions from Medical Statistics at a Glance Workbook





Index