The at a Glance series is popular among medical students and junior doctors for its concise and simple approach and excellent illustrations.

Each bite-sized chapter incorporates colour summary diagrams with corresponding explanatory text. Covering a wide range of topics, books in the at a Glance series are ideal as introductory subject texts or for revision purposes, and are useful throughout medical school and beyond.

Everything you need to know about Medical Statistics...at a Glance!

Medical Statistics at a Glance is a concise and accessible introduction and revision aid for this complex subject. The self-contained chapters explain the underlying concepts of medical statistics and provide a guide to the most commonly used statistical procedures.

This new edition of Medical Statistics at a Glance:

• Presents key facts accompanied by clear and informative tables and diagrams
• Focuses on illustrative examples which show statistics in action, with an emphasis on the interpretation of computer data analysis rather than complex hand calculations
• Includes extensive cross-referencing, a comprehensive glossary of terms and flow-charts to make it easier to choose appropriate tests
• Now provides the learning objectives for each chapter
• Includes a new chapter on Developing Prognostic Scores
• Includes new or expanded material on study management, multi-centre studies, sequential trials, bias and different methods to remove confounding in observational studies, multiple comparisons, ROC curves and checking assumptions in a logistic regression analysis
• The companion website atwww.medstatsaag.com contains supplementary material including an extensive reference list and multiple choice questions (MCQs) with interactive answers for self-assessment.

1 Types of data 8
2 Data entry 10
3 Error checking and outliers 12
4 Displaying data graphically 14
5 Describing data : the 'average' 16
6 Describing data : the 'spread' 18
7 Theoretical distributions : the normal distribution 20
8 Theoretical distributions : other distributions 22
9 Transformations 24
10 Sampling and sampling distributions 26
11 Confidence intervals 28
12 Study design I 30
13 Study design II 32
14 Clinical trials 34
15 Cohort studies 37
16 Case-control studies 40
17 Hypothesis testing 42
18 Errors in hypothesis testing 44
19 Numerical data : a single group 46
20 Numerical data : two related groups 49
21 Numerical data : two unrelated groups 52
22 Numerical data : more than two groups 55
23 Categorical data : a single proportion 58
24 Categorical data : two proportions 61
25 Categorical data : more than two categories 64
26 Correlation 67
27 The theory of linear regression 70
28 Performing a linear regression analysis 72
29 Multiple linear regression 76
30 Binary outcomes and logistic regression 79
31 Rates and Poisson regression 82
32 Generalized linear models 86
33 Explanatory variables in statistical models 88
34 Issues in statistical modelling 91
35 Checking assumptions 94
36 Sample size calculations 96
37 Presenting results 99
38 Diagnostic tools 102
39 Assessing agreement 105
40 Evidence-based medicine 108
41 Methods for clustered data 110
42 Regression methods for clustered data 113
43 Systematic reviews and meta-analysis 116
44 Survival analysis 119
45 Bayesian methods 122
App. A Statistical tables 124
App. B Altman's nomogram for sample size calculations 131
App. C Typical computer output 132