Book Contents

Preface

Handling data
1 Types of data
2 Data entry
3 Error checking and outliers
4 Displaying data graphically
5 Describing data (1): the 'average'
6 Describing data (2): the 'spread'
7 Theoretical distributions (1): the Normal distribution
8 Theoretical distributions (2): 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 A single group
20 Two related groups
21 Two unrelated groups
22 More than two groups
Categorical data:
23 A single proportion
24 Two proportions
25 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 analysis
30 Binary outcomes and logistic regression
31 Rates and Poisson regression
32 Generalized linear models
33 Explanatory variables in statistical models
34 Issues in statistical modelling
Important considerations:
35 Checking assumptions
36 Sample size calculations
37 Presenting results

Additional topics
38 Diagnostic tools
39 Assessing agreement
40 Evidence-based medicine
41 Methods for clustered data
42 Regression methods clustered data
43 Systematic reviews and meta-analysis
44 Survival analysis
45 Bayesian methods

Appendices
A Statistical tables
B Altman's nomogram for sample size calculations
C Typical computer output
D Glossary

Index