Medical Statistics: A Guide to Data Analysis and Critical Appraisal / Edition 1

Medical Statistics: A Guide to Data Analysis and Critical Appraisal / Edition 1

by Jennifer Peat, Belinda Barton
     
 

ISBN-10: 0727918125

ISBN-13: 9780727918123

Pub. Date: 08/29/2005

Publisher: Wiley

Holistic approach to understanding medical statistics

This hands-on guide is much more than a basic medical statistics introduction. It equips you with the statistical tools required for evidence-based clinical research.

Each chapter provides a clear step-by-step guide to each statistical test with practical instructions on how to generate and interpret

Overview

Holistic approach to understanding medical statistics

This hands-on guide is much more than a basic medical statistics introduction. It equips you with the statistical tools required for evidence-based clinical research.

Each chapter provides a clear step-by-step guide to each statistical test with practical instructions on how to generate and interpret the numbers, and present the results as scientific tables or graphs.

Showing you how to:

  • analyse data with the help of data set examples (Click here to download datasets)
  • select the correct statistics and report results for publication or presentation
  • understand and critically appraise results reported in the literature

Each statistical test is linked to the research question and the type of study design used. There are also checklists for critically appraising the literature and web links to useful internet sites.

Clear and concise explanations, combined with plenty of examples and tabulated explanations are based on the authors’ popular medical statistics courses. Critical appraisal guidelines at the end of each chapter help the reader evaluate the statistical data in their particular contexts.

Product Details

ISBN-13:
9780727918123
Publisher:
Wiley
Publication date:
08/29/2005
Edition description:
New Edition
Pages:
338
Product dimensions:
6.25(w) x 9.30(h) x 0.75(d)

Related Subjects

Table of Contents

1 Data management: preparing to analyse the data.

2 Continuous variables: descriptive statistics.

3 Continuous variables: comparing two independent samples.

4 Continuous variables: paired and one-sample t-tests.

5 Continuous variables: analysis of variance.

6 Continuous data analyses: correlation and regression.

7 Categorical variables: rates and proportions.

8 Categorical variables: risk statistics.

9 Categorical and continuous variables: test of agreement.

10 Categorical and continuous variables: diagnostic statistics.

11 Categorical and continuous variables: survival analysis

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