Jennifer Peat, Belinda Barton, Elizabeth Elliott

Statistics Workbook for Evidence-based Health Care (eBook, PDF)

• Format: PDF

Produktbeschreibung

This concise, easy to understand and learner-friendly book invites the readers to actively particpate in the understanding of medical statistical concepts that are frequently used in health care research and evidence-based practice worldwide. Knowing that the best way to learn statistical concepts is to use them, the authors employ real examples and articles from health science literature, complete with the complexities that real life presents, in an approach that will help bring researchers and clinicians one step closer towards being statistical savvy and better able to critically read research literature and interpret the results. * A practical hands-on workbook for individual or group exercises * Teaches how to understand statistical methods when reading journals, and how to use them in clinical research * Emphasizes the use of statistics in evidence-based research Relevant for anyone needing to use statistics, this workbook is an ideal resource for all health care professionals and students, especially those learning and practising evidence-based medicine.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 192
• Erscheinungstermin: 22. Januar 2009
• Englisch
• ISBN-13: 9781444300505
• Artikelnr.: 37337559

Autorenporträt

Jennifer Peat is Associate Professor in the Department of Paediatrics and Child Health and Senior Hospital Statistician, Clinical Epidemiology Unit at the Children's Hospital at Westmead, NSW Australia Belinda Barton also from the Children's Hospital at Westmead is Head of the Education Research Institute and Psychologist in the Neurogenetics Research Unit Professor Elizabeth Elliott, Discipline of Paediatrics and Child Health, University of Sydney, The Children's Hospital at Westmead OR Jennifer Peat, Belinda Barton, Professor Elizabeth Elliott, All of the Children's Hospital at Westmead, NSW Australia

Inhaltsangabe

Chapter 1: types of study designs.
Chapter 2: Tests of significance and confidence intervals.
Chapter 3: Incidence and prevalence.
Chapter 4: Comparing proportions.
Chapter 5: Odds ratio and relative risk.
Chapter 6: Comparing mean values.
Chapter 7: Paired and one sample tests.
Chapter 8: Correlation and regression.
Chapter 9: Statistics for clinical trials.
Chapter 10 Survival tests.
Chapter 11 Diagnostic tests.
Chapter 12 Tests of agreement.