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Medical Statistics at a Glance
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Preface 6 Learning objectives 8 Handling data 1 Types of data 14 2 Data entry 16 3 Error checking and outliers 18 4 Displaying data diagrammatically 20 5 Describing data: the ?average? 22 6 Describing data: the ?spread? 24 7 Theoretical distributions: the Normal distribution 26 8 Theoretical distributions: other distributions 28 9 Transformations 30 Sampling and estimation 10 Sampling and sampling distributions 32 11 Confidence intervals 34 Study design 12 Study design I 36 13 Study design II 38 14 Clinical trials 40 15 Cohort studies 44 16 Case?control studies 47 Hypothesis testing 17 Hypothesis testing 50 18 Errors in hypothesis testing 52 Basic techniques for analysing data Numerical data 19 Numerical data: a single group 54 20 Numerical data: two related groups 57 21 Numerical data: two unrelated groups 60 22 Numerical data: more than two groups 63 Categorical data 23 Categorical data: a single proportion 66 24 Categorical data: two proportions 69 25 Categorical data: more than two categories 72 Regression and correlation 26 Correlation 75 27 The theory of linear regression 78 28 Performing a linear regression analysis 80 29 Multiple linear regression 84 30 Binary outcomes and logistic regression 88 31 Rates and Poisson regression 92 32 Generalized linear models 96 33 Explanatory variables in statistical models 98 Important considerations 34 Bias and confounding 102 35 Checking assumptions 106 36 Sample size calculations 108 37 Presenting results 112 Additional chapters 38 Diagnostic tools 115 39 Assessing agreement 118 40 Evidence-based medicine 122 41 Methods for clustered data 124 42 Regression methods for clustered data 127 43 Systematic reviews and meta-analysis 130 44 Survival analysis 133 45 Bayesian methods 136 46 Developing prognostic scores 138 Appendices A Statistical tables 142 B Altman?s nomogram for sample size calculations 149 C Typical computer output 150 D Glossary of terms 163 E Chapter numbers with relevant multiple - choice questions and structured questions from Medical Statistics at a Glance Workbook 174 Index 175

Aviva Petrie, Head of Biostatistics Unit and Senior Lecturer, Eastman Dental Institute, University College London; Honorary Lecturer in Medical Statistics, Medical Statistics Unit, London School of Hygiene and Tropical Medicine Caroline Sabin, Professor of Medical Statistics and Epidemiology, Department of Primary Care and Population Sciences, Royal Free and University College Medical School, London.

#### Reviews

"The book will appeal to all medical students, junior doctors and researchers in biomedical and pharmaceutical disciplines." ( Zentralblatt MATH , 1 May 2013) "Overall, Medical Statistics at a Glance is very useful to students who are aiming to learn basic medical statistics concepts. Clinicians and statistics students can keep a copy of this book as a quick initial reference. This book is highly recommended as an excellent Medical Statistics guide." ( Journal of Biopharmaceutical Statistics, August 2010)