1. Now in its Third Edition, An Introduction to Medical Statistics contin ues to be and invaluable textbook for medical students, doctors, medic al researchers, nurses, members of professionals allied to medicine as well as those concerned with medical data. Martin Bland is Professor of Medical Statistics in the Department of Public Health.
  2. Martin Bland St. George's Hospital Medical School, London, UK. Textbook, for medical students, nurses, clinicians, and medical researchers, covers statistical work required for a course in medicine and for the exams of most Royal Colleges.
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An Introduction to Medical Statistics

Statistics, 125 pages. Medical Statistics from A to Z A Guide for Clinicians and Medical Students, Brian Everitt, 2003, Mathematics, 230 pages. An accessible non-technical introduction to the terminology of medical statistics. Interpretation and Uses of Medical Statistics, Leslie Daly, Geoffrey J Bourke, Apr 30, 2008, Medical, 584 pages. Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principles used in the medical literature.

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Author : Martin Bland
File Size : 80.89 MB
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Third Edition

Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principlesused in the medical literature.Taking readers through the common statistical methods seen in published research and guidelines, the text focuses on how to interpret and analyse statistics for clinical practice. Using extracts from real studies, the author illustrates how data can be employed correctly and incorrectly in medicalresearch helping readers to evaluate the statistics they encounter and appropriately implement findings in clinical practice.End of chapter exercises, case studies and multiple choice questions help readers to apply their learning and develop their own interpretative skills. This thoroughly revised edition includes new chapters on meta-analysis, missing data, and survival analysis.