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E-raamat: Concise Guide to Observational Studies in Healthcare

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(Deputy Director, Cancer Research UK & UCL Cancer Trials Centre, Cancer Institute, University College London, London, UK)
  • Formaat: PDF+DRM
  • Ilmumisaeg: 19-Dec-2014
  • Kirjastus: Wiley-Blackwell
  • Keel: eng
  • ISBN-13: 9781118527030
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Concise Guide to Observational Studies in HealthcareSuurem pilt
  • Formaat: PDF+DRM
  • Ilmumisaeg: 19-Dec-2014
  • Kirjastus: Wiley-Blackwell
  • Keel: eng
  • ISBN-13: 9781118527030
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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.

It is a suitable introduction for anyone without prior knowledge of study design, analysis or conduct as the important concepts are presented throughout the text. It provides an overview to the features of design, analyses and conduct of observational studies, without using mathematical formulae, or complex statistics or terminology and is a useful guide for researchers conducting their own studies, those who participate in studies co-ordinated by others, or who read or review a published report of an observational study. Examples are based on clinical features of people, biomarkers, lifestyle habits and environmental exposures, and evaluating quality of care.

A Concise Guide to Observational Studies in Healthcare is a companion text to the popularA Concise Guide to Clinical Trials and is relevant for all healthcare professionals, clinical and health researchers, and medical students.

Arvustused

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)

Foreword, vii
Preface, viii
1 Fundamental concepts, 1(25)
2 Outcome measures, risk factors, and causality 26(21)
3 Effect sizes, 47(19)
4 Regression analyses, 66(16)
5 Cross-sectional studies, 82(26)
6 Case—control studies, 108(27)
7 Cohort studies, 135(22)
8 Quality of care studies, 157(14)
9 Prognostic markers for predicting outcomes, 171(25)
10 Systematic reviews and meta-analyses, 196(20)
11 Conducting and reporting observational studies, 216(23)
Index, 239
Allan Hackshaw, Deputy Director, Cancer Research UK & UCL Cancer Trials Centre, Cancer Institute, University College London, London, UK
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