a collection of evidence based medicine books How To Read A Paper, 2e | T. Greenhalgh | 2001 | Painless Evidence-Based Medicine | A.L. Dans et al.
American Journal of Epidemiology: Volume 169, Number 7, April 01, 2009 By George W.
Statistical Modeling for Biomedical Researchers: A Simple Introduction to the Analysis of Complex Data Product Details Paperback: 542 pages Publisher: Cambridge University Press; 2 edition (February 23, 2009) Language: English ISBN-10: 0521614805 ISBN-13: 978-0521614801 Product Description For biomedical researchers, the new edition of this standard text guides readers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics.
Statistics in Clinical Practice By David Coggon Publisher: Blackwell Publishing Limited Number Of Pages: Publication Date: 2002-12-15 Sales Rank: 1253463 ISBN / ASIN: 0727916092 EAN: 9780727916099 Binding: Paperback Manufacturer: Blackwell Publishing Limited Studio: Blackwell Publishing Limited Average Rating: Total Reviews: These days a basic knowledge of statistics is essential for good clinical practice, which presents a daunting challenge to health professionals who are not mathematically inclined. This book is aimed at clinicians and students who view statistics as a necessary evil.
Interpretation and Uses of Medical Statistics By Leslie Daly, Geoffrey J Bourke Publisher: Wiley-Blackwell Number Of Pages: 568 Publication Date: 2000-08-15 ISBN-10 / ASIN: 0632047631 ISBN-13 / EAN: 9780632047635 Product Description: National Univ.
Statistics: A Biomedical Introduction (Wiley Series in Probability and Statistics) By Byron Wm. Brown, Myles Hollander Publisher: Wiley-Interscience Number Of Pages: 480 Publication Date: 1977-10-04 ISBN-10 / ASIN: 0471112402 ISBN-13 / EAN: 9780471112402 Product Description: This book provides the basic methods of introductory statistics, focusing on real-life examples from medicine, public health, and the natural sciences.
Statistical Methods in Diagnostic Medicine (Wiley Series in Probability and Statistics) By Xiao-Hua Zhou, Donna K. McClish, Nancy A.
Modelling Survival Data in Medical Research, Second Edition Modelling Survival Data in Medical Research, Second Edition Chapman & Hall/CRC | ISBN: 1584883251 | 2003-03-28 | PDF | 408 pages | 11 Mb Critically acclaimed and resoundingly popular in its first edition, Modelling Survival Data in Medical Research has been thoroughly revised and updated to reflect the many developments and advances–particularly in software–made in the field over the last 10 years. Now, more than ever, it provides an outstanding text for upper-level and graduate courses in survival analysis, biostatistics, and time-to-event analysis.The treatment begins with an introduction to survival analysis and a description of four studies that lead to survival data.
Statistics Applied to Clinical Trials Ton J. Cleophas, Aeilko H., Ph.D. Zwinderman, Toine F
Translational Medicine: Strategies and Statistical Methods Dennis Cosmatos, Shein-Chung Chow “Translational Medicine: Strategies and Statistical Methods” Chapman & Hall/CRC | 2008-12-17 | ISBN: 1584888725 | 252 pages | PDF | 2,4 MB Examines Critical Decisions for Transitioning Lab Science to a Clinical Setting The development of therapeutic pharmaceutical compounds is becoming more expensive, and the success rates for getting such treatments approved for marketing and to the patients is decreasing. As a result, translational medicine (TM) is becoming increasingly important in the healthcare industry a means of maximizing the consideration and use of information collected as compounds transition from initial lab discovery, through pre-clinical testing, early clinical trials, and late confirmatory studies that lead to regulatory approval of drug release to patients. Translational Medicine: Strategies and Statistical Methods suggests a process for transitioning from the initial lab discovery to the patients bedside with minimal disconnect and offers a comprehensive review of statistical design and methodology commonly employed in this bench-to-bedside research