Statistics Toolkit

This concise book will help you to interpret the statistical
evidence provided by quantitative studies and to plan how to work
with data in your own clinical research. Following the successful
format of the Toolkit series, Statistics Toolkit guides the reader
through statistical concepts using flowcharts, diagrams and real
life examples to reflect concepts in a simple and practical
manner.

Sections include:

• • Clear explanation of basic concepts in the context of clinical
    research

• Demonstration of how data are described, displayed and
  interpreted in different formats

• Practical glossary and key to the symbols used in statistics
  and a discussion of the software tools

The book offers a handy, quick reference that has an
easy-to-follow structure throughout, making it ideal for health
care professionals and students.

Auteur

Rafael Perera: Senior Research Fellow in Statistics,
Department of Primary Care, University of Oxford, Oxford, UK

Carl Heneghan: Clinical Research Fellow, Assistant
Director Centre for Evidence Based Medicine, Department of Primary
Care, University of Oxford, Oxford, UK

Douglas Badenoch: Director, Minervation Ltd, Oxford,
UK

Résumé
This concise book will help you to interpret the statistical evidence provided by quantitative studies and to plan how to work with data in your own clinical research. Following the successful format of the Toolkit series, Statistics Toolkit guides the reader through statistical concepts using flowcharts, diagrams and real life examples to reflect concepts in a simple and practical manner.

Sections include:

• Clear explanation of basic concepts in the context of clinical research

• Demonstration of how data are described, displayed and interpreted in different formats

• Practical glossary and key to the symbols used in statistics and a discussion of the software tools

The book offers a handy, quick reference that has an easy-to-follow structure throughout, making it ideal for health care professionals and students.

Contenu
Introduction. Data: describing and displaying.

Probability and confi dence intervals.

Hypothesis testing.

Choosing which measure and test to use.

Randomised controlled trials.

Systematic reviews 1.

Case-control studies.

Questionnaire studies 1.

Questionnaire studies 2.

Cohort studies.

Systematic reviews 2.

Diagnostic tests.

Scale validation.

Statistical toolkit: glossary.

Software for data management and statistical analysis.

References.

Index.

Commonly used symbols.