Review
Praise for the First Edition The book covers a wealth of information ranging from medical uncertainties to statistical facilities. … a tour of the biostatistical field in clear and intelligent language…
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Journal of the Royal Statistical Society, Vol. 52, 2003
A very complete book on all aspects of medical biostatistics: probably the most complete book on biostatistics we have seen.
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Analyse-itThere is plenty of good advice about practical matters of presentation and interpretation, which, together with the chapter on statistical fallacies, make the book worthwhile reading for the user of biostatistics who may need such guidance…
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Australian and New Zealand Journal of Statistics, Vol. 44, 2002
This book contains state-of-the-art statistical methods with examples and references to planning of medical data collection, analyzing and interpreting the data…
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Journal of Statistical Computation and Simulation, Vol. 74, 2004
This book is a serious attempt to medicalise the science of biostatistics and discuss statistical methods entirely from the perspective of medical and health professionals…
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Resources for Teaching StatisticsTo clinicians and other medical and health professionals, it will be of great help in planning and conducting investigational studies and in critically interpreting the medical literature, which is becoming increasingly statistical…
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Journal of the American Statistical Association, Vol. 97, 2002
Product Description
Emphasizing statistical concepts used in medicine, the interpretation of methods, and applications,
Medical Biostatistics, Second Edition shows how biostatistical methods are important tools in managing uncertainties in medicine and the health sciences. With coverage ranging from elementary topics, such as mean and standard deviation, to advanced approaches, such as logistic regression and multivariate methods, this edition is even more far-reaching in scope than its predecessor.
New to the Second Edition
Full chapters on clinical trials, observational studies, laboratory experiments, survival analysis, and logistic regression A new chapter on clinimetrics and evidence-based medicine Expanded discussions on epistemic uncertainties, crossover designs, equivalence trials and studies, hazard functions, and the log-rank test The introduction of research evidence, multilevel regression, classification, and regression trees at an elementary level Sample size formulas for relative risk, odds ratio, and survival studies Numerous additional examples from contemporary medical literature Numbered steps for the many procedures and remarks Requiring only high school algebra, this text enables a solid understanding of the statistical concepts required to critically examine medical literature, scientifically plan and carry out medical investigations, and meaningfully analyze data.