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
Medical Statistics at a Glance Workbook
Introduction
Part 1: MCQs
Handling data
Sampling and estimation
Study design
Hypothesis testing
Basic techniques for analysing data
Additional techniques
Part 2: Structured Questions
Part 3: Critical appraisal
Randomised controlled trial: template
Paper 1: a randomised controlled trial
Observational study: template
Paper 2: an observational study
Part 4: Data analysis
Dataset 1 analysed by Stata v11
Dataset 2 analysed using IBM SPSS Statistics v20
Part 5: Solutions
Solutions to MCQs
Model answers for structured questions
Critical appraisal of Paper 1
Critical appraisal of Paper 2
Appendices
Appendix I: List of MCQs with relevant chapters from Medical Statistics at a Glance (3rd edn) and associated topics
Appendix II: List of structured questions with relevant chapters from Medical Statistics at a Glance (3rd edn) and associated topics
Appendix III: Chapters from Medical Statistics at a Glance with relevant MCQs and Structured questions
