Statistics Toolkit / Edition 1

by Rafael Perera, Carl Heneghan, Douglas Badenoch

Overview

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.

Product Details

ISBN-13:	9781405161428
Publisher:	Wiley
Publication date:	02/11/2008
Series:	EBMT-EBM Toolkit Series , #2
Pages:	122
Product dimensions:	4.40(w) x 6.70(h) x 0.26(d)

About the Author

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

Table of Contents

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.

Editorial Reviews

Reviewer: Diane M Tomasic, EdD, RN (Slippery Rock University )
Description: This is a quick reference for common statistical concepts and a guide to how to interpret data for clinical research.
Purpose: The purpose is to summarize key concepts in statistical procedures used in clinical research to enable readers/researchers to interpret statistical results. The authors do a good job of achieving this goal.
Audience: Healthcare practitioners and students are the intended audience. It would also be helpful for beginning researchers. Two of the authors are associated with the University of Oxford.
Features: The first of the book's three parts deals with summarizing and describing data and covers basic descriptive statistics. The second section covers the use of statistics in clinical papers. Major types of clinical papers are identified and the common statistics used are discussed. The final part contains a glossary, a description of symbols use in statistics, and a summary of software tools used in statistical analysis. As noted by the authors, those needing a detailed explanation of statistics must consult a statistics book.
Assessment: This handbook should be useful to the target audience as a quick reference for a description of common statistics and interpretation.

Doody's Review Service

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. Statistics Toolkit guides the reader through statistical concepts
using flowcharts, diagrams and real life examples to reflect concepts in a simple and practical manner. The book offers a handy, quick reference that has an easy-to-follow structure throughout, making it ideal for health care professionals and students.” Doodys Reviews

From the Publisher