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PrefaceLearning objectivesHandling data1 Types of data2 Data entry3 Error checking and outliers4 Displaying data diagrammatically5 Describing data: the 'average'6 Describing data: the 'spread'7 Theoretical distributions: the Normal distribution8 Theoretical distributions: other distributions9 TransformationsSampling and estimation10 Sampling and sampling distributions11 Confidence intervalsStudy design12 Study design I13 Study design II14 Clinical trials15 Cohort studies16 Case-control studiesHypothesis testing17 Hypothesis testing18 Errors in hypothesis testingBasic techniques for analysing dataNumerical data19 Numerical data: a single group20 Numerical data: two related groups21 Numerical data: two unrelated groups22 Numerical data: more than two groupsCategorical data23 Categorical data: a single proportion24 Categorical data: two proportions25 Categorical data: more than two categoriesRegression and correlation26 Correlation27 The theory of linear regression28 Performing a linear regression analysis29 Multiple linear regression30 Binary outcomes and logistic regression31 Rates and Poisson regression32 Generalized linear models33 Explanatory variables in statistical modelsImportant considerations34 Bias and confounding35 Checking assumptions36 Sample size calculations37 Presenting resultsAdditional chapters38 Diagnostic tools39 Assessing agreement40 Evidence-based medicine41 Methods for clustered data42 Regression methods for clustered data43 Systematic reviews and meta-analysis44 Survival analysis45 Bayesian methods46 Developing prognostic scoresAppendicesA Statistical tablesB Altman's nomogram for sample size calculationsC Typical computer outputD EQUATOR network checklists and critical appraisal templatesE Glossary of termsF Chapter numbers with relevant multiple-choice questions and structured questions from Medical Statistics at a Glance WorkbookIndex
Aviva Petrie is Honorary Associate Professor, Biostatistics Unit, UCL Eastman Dental Institute, London, UK.Caroline Sabin is Professor of Medical Statistics and Epidemiology, Department of Primary Care and Population Sciences, Royal Free and University College Medical School, London, UK.