Statistical Evidence in Medical Trials

Stephen D. Simon

208 pages, parution le 15/03/2006

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Résumé

Addresses common pitfalls in current studies and journals
Extensive use of real world examples using full free text publications
Case studies introducing each chapter
Clear and direct writing style
Many exercises containing excerpts from research publications

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.

L'auteur - Stephen D. Simon

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.

Sommaire

Overview
Apples or Oranges?: Selection of the control group.
Who was Left Out?: Exclusions, refusals, and drop-outs
Mountain or Molehill?: The clinical importance of the results
What do the Other Witnesses Say?: Corroborating Evidence
Do the Pieces Fit Together?: Systematic overviews and meta-analysis
What do All these Numbers Mean?
Where is the Evidence?: Searching for information

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Oxford University Press
Auteur(s)	Stephen D. Simon
Parution	15/03/2006
Nb. de pages	208
Format	16 x 23,5
Couverture	Broché
Poids	340g
Intérieur	Noir et Blanc
EAN13	9780198567615
ISBN13	978-0-19-856761-5