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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. The material covered inclu des all the statistical work that would be required for a course in me dicine and for the examinations of most of the Royal Colleges. It incl udes the design of clinical trials and epidemiological studies, data c ollection, summarizing and presenting data, probability, standard erro r, confidence intervals and significance tests, techniques of data ana lusis including multifactorial methods and the choice of statistical m ethod, problems of medical measurement and diagnosis, vital statistics, and calculation of sample size.
Statistical Questions in Evidence-based Medicine is a companion volume to the new edition of An Introduction to Medical Statistics and includes questions and answers which are complementary to the textbook. This new book takes a practical approach that develops an understanding of statistics and suggests appropriate questions to ask about research methods, figures and conclusions and whether they are evidence based. The book is a model of clarity and common sense in what is frequently an unnecessarily obscure area of science. It looks at the application of and provides a critique of statistics, encouraging an evidence-based approached to medical statistics. Through the critical evaulation of...
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. 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 medical research 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.
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This edition includes: NOVELS The Great Impersonation The Double Traitor The Battle Of Basinghall Street Murder At Monte Carlo The Yellow House The Black Box The Devil's Paw A Maker Of History The New Tenant Mr. Grex Of Monte Carlo A Monk Of Cruta The Cinema Murder A Modern Prometheus Exit A Dictator The Yellow Crayon The Wrath To Come The Grassleyes Mystery The Golden Beast The Dumb Gods Speak The Peer And The Woman To Win The Love He Sought False Evidence Master Of Sinister House Mr. Marx's Secret The Great Secret The Man Who Changed His Plea The Double Life Of Mr Alfred Burton The Amazing Judgment The Postmaster Of Market Deignton Mysterious Mr. Sabin A Millionaire Of Yesterday The World'...
The majority of medical research involves quantitative methods and so it is essential to be able to understand and interpret statistics. This book shows readers how to develop the skills required to critically appraise research evidence effectively, and how to conduct research and communicate their findings.
2004 BMA Medical Book Competition Winner (Radiology category) “This is an exciting book, with a new approach to use of the MRI scanner. It bridges the gap between clinical research and general neuro-radiological practice. It is accessible to the clinical radiologist, and yet thorough in its treatment of the underlying physics and of the science of measurement. It is likely to become a classic.” British Medical Association This indispensable 'how to' manual of quantitative MR is essential for anyone who wants to use the gamut of modern quantitative methods to measure the effects of neurological disease, its progression, and its response to treatment. It contains both the methodology and c...
This new edition of the 'Oxford Handbook of Medical Statistics' provides doctors and medical students with a clear and concise explanation of statistical methods. It is an accessible and thorough account of a complex subject, and the previous edition has been described by readers as a 'statistical Bible'.
History and genealogies of the families of Miller, Woods, Harris, Wallace, Maupin, Oldham, Kavanaugh, and Brown with interspersions of notes of the families of Dabney, Reid, Martin, Broaddus, Gentry, Jarman, Jameson, Ballard, Mullins, Michie, Moberley, Covington, Browning, Duncan, Yancey and Others.