Table of Contents

1 Evidence-based medicine

What is evidence-based medicine?

Formulating clinical questions

Identifying relevant evidence

Critically appraising the evidence

Assessing the results

Implementing the results

Evaluating performance

Creating guideline recommendations

2 Handling data

Types of variables

Displaying the distribution of a single variable

Displaying the distribution of two variables

Describing the frequency distribution: central tendency

Describing the frequency distribution: variability

Theoretical distributions

Transformations

Choosing the correct summary measure

3 Investigating hypotheses

Hypothesis testing

Choosing a sample

Extrapolating from ‘sample’ to ‘population’

Comparing means and proportions: confidence intervals

The P-value

Statistical significance and clinical significance

Statistical power

4 Systematic review and meta-analysis

Why do we need systematic reviews?

Evidence synthesis

Meta-analysis

Presenting meta-analyses

Evaluating meta-analyses

Advantages and disadvantages

Key example of a meta-analysis

Reporting a systematic review

5 Research design

Obtaining data

Interventional studies

Observational studies

Clinical trials

Bradford-Hill criteria for causality

Choosing the right study design

Writing up a research study

6 Randomised controlled trials

Why choose an interventional study design?

Parallel randomised controlled trials

Confounding, causality and bias

Interpreting the results

Types of randomised controlled trials

Advantages and disadvantag

Details

No. of pages:
272
Language:
English
Copyright:
© 2013
Published:
Imprint:
Mosby Ltd.
Print ISBN:
9780723437352
Electronic ISBN:
9780723437840

About the editor

Amit Kaura

Affiliations and Expertise

Core Medical Trainee, King's College Hospital, London, UK