Critical appraisal is central to the development of rational health care and evidence-based medicine, by applying it to questions of aetiology, clinical therapy, and health care management. The reader will learn how to assess the strengths and weaknesses of new studies, and how to conduct their own studies.
Critical appraisal is central to the development of rational health care and evidence-based medicine, by applying it to questions of aetiology, clinical therapy, and health care management. The reader will learn how to assess the strengths and weaknesses of new studies, and how to conduct their own studies.
Mark Elwood studied medicine in the UK and epidemiology and public health in the US and Canada. He has been a Professor of epidemiology in Nottingham, England, Vancouver, Canada, Melbourne, Australia, and Dunedin and Auckland in New Zealand. His contributions have been in cancer aetiology, prevention and early diagnosis, but include studies of birth defects, health care outcomes, and many clinical topics. He first produced this text in 1988 and has used it and its developments in teaching his evidence based approach to clinical appraisal to health practitioners, health managers, and postgraduate and undergraduate students.
Inhaltsangabe
1: Introduction 2: The importance of causal relationships in medicine and health care 3: Study designs which can demonstrate and test causation 4: The results obtained from studies of causation 5: Selection of subjects for study 6: Error and bias in observations 7: Confounding 8: Chance variation 9: Combining results from several studies: systematic reviews and meta-analyses 10: The diagnosis of causation 11: Critical appraisal in action: Introduction to Chapters 12-17 12: Critical appraisal of a randomized clinical trial 13: Critical appraisal of a randomized trial of a preventive agent 14: Critical appraisal of a prospective cohort study 15: Critical appraisal of a retrospective cohort study 16: Critical appraisal of a matched case control study 17: Critical appraisal of a large population-based case control study App 1: Answers to self-test questions App 2: Methods of statistical analysis: Formulae and worked examples
1: Introduction 2: The importance of causal relationships in medicine and health care 3: Study designs which can demonstrate and test causation 4: The results obtained from studies of causation 5: Selection of subjects for study 6: Error and bias in observations 7: Confounding 8: Chance variation 9: Combining results from several studies: systematic reviews and meta-analyses 10: The diagnosis of causation 11: Critical appraisal in action: Introduction to Chapters 12-17 12: Critical appraisal of a randomized clinical trial 13: Critical appraisal of a randomized trial of a preventive agent 14: Critical appraisal of a prospective cohort study 15: Critical appraisal of a retrospective cohort study 16: Critical appraisal of a matched case control study 17: Critical appraisal of a large population-based case control study App 1: Answers to self-test questions App 2: Methods of statistical analysis: Formulae and worked examples
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