Description

Book Synopsis
A Concise Guide to Observational Studies in Healthcare provides busy healthcare professionals with an easy-to-read introduction and overview to conducting, analysing and assessing observational studies.

Trade Review
“A Concise Guide to Observational Studies in Healthcare” is a solid introduction to observational studies. Clinical trials are the gold standard, but with the price of gold what it is, observational studies are a legitimate and affordable way to answer many questions." (Journal of Clinical Research Best Practices 2016)

Table of Contents

Foreword vii

Preface viii

1 Fundamental concepts 1

2 Outcome measures risk factors and causality 26

3 Effect sizes 47

4 Regression analyses 66

5 Cross-sectional studies 82

6 Case–control studies 108

7 Cohort studies 135

8 Quality of care studies 157

9 Prognostic markers for predicting outcomes 171

10 Systematic reviews and meta-analyses 196

11 Conducting and reporting observational studies 216

Index 239

A Concise Guide to Observational Studies in

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    A Paperback / softback by Allan Hackshaw

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      View other formats and editions of A Concise Guide to Observational Studies in by Allan Hackshaw

      Publisher: John Wiley and Sons Ltd
      Publication Date: Publication Date: 13/02/2015
      ISBN13: 9780470658673, 978-0470658673
      ISBN10: 0470658673

      Description

      Book Synopsis
      A Concise Guide to Observational Studies in Healthcare provides busy healthcare professionals with an easy-to-read introduction and overview to conducting, analysing and assessing observational studies.

      Trade Review
      “A Concise Guide to Observational Studies in Healthcare” is a solid introduction to observational studies. Clinical trials are the gold standard, but with the price of gold what it is, observational studies are a legitimate and affordable way to answer many questions." (Journal of Clinical Research Best Practices 2016)

      Table of Contents

      Foreword vii

      Preface viii

      1 Fundamental concepts 1

      2 Outcome measures risk factors and causality 26

      3 Effect sizes 47

      4 Regression analyses 66

      5 Cross-sectional studies 82

      6 Case–control studies 108

      7 Cohort studies 135

      8 Quality of care studies 157

      9 Prognostic markers for predicting outcomes 171

      10 Systematic reviews and meta-analyses 196

      11 Conducting and reporting observational studies 216

      Index 239

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