Buch, Englisch, 216 Seiten, Print PDF, Format (B × H): 160 mm x 240 mm, Gewicht: 455 g
What do the data really tell us?
Buch, Englisch, 216 Seiten, Print PDF, Format (B × H): 160 mm x 240 mm, Gewicht: 455 g
ISBN: 978-0-19-856760-8
Verlag: Oxford University Press
Statistical Evidence in Medical Trials is a lucid, well-written and entertaining text that addresses common pitfalls in evaluating medical research. Including extensive use of publications from the medical literature and a non-technical account of how to appraise the quality of evidence presented in these publications, this book is ideal for health care professionals, students in medical or nursing schools, researchers and students in statistics, and anyone needing to assess the evidence published in medical journals.
Stephen D. Simon earned a Ph.D. in statistics from the University of Iowa in 1982. He currently works as a research biostatistician at Children's Mercy Hospitals and Clinics in Kansas City, MO. He has authored or co-authored over 60 publications in a variety of medical and statistical journals, four of which have won awards. He has given a wide range of lectures and classes on statistics, evidence based medicine, research ethics, and quality control.
Zielgruppe
Students and researchers in statistics, health care professionals, and anyone needing to correctly analyse and assess statistical data
Autoren/Hrsg.
Fachgebiete
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Biomedizin, Medizinische Forschung, Klinische Studien
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Präventivmedizin, Gesundheitsförderung, Medizinisches Screening
- Mathematik | Informatik Mathematik Mathematik Allgemein
- Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines Populärwissenschaftliche Werke
Weitere Infos & Material
- Preface
- Overview
- 1: Apples or oranges? Selection of the control group.
- 2: Who was left out?
- 3: Mountain or molehill? The clinical importance of the results.
- 4: What do the other witnesses say? Corroborating evidence.
- 5: Do the pieces fit together?
- 6: What do all these numbers mean?
- 7: Where is the evidence? Searching for information.




