Statistics Applied to Clinical Trials
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Beschreibung
The authors have both medical and mathematical backgrounds
Based on famous modules from the Socrates educational project Eudipharm of the EC
Innovative because of the explanatory rather than mathematical approach
Emphasizes non-classical but increasingly frequently used methods such as equivalence testing, interaction assessment and analysis of genetic data
Not equivalent to any current textbook on statistics
In 1948 the first randomized controlled trial was published by the English Medical Research Council in the British Medical Journal. Until then, observations had been uncontrolled. The intervening decades have seen significant improvement in the accuracy of trials. Today, clinical trial protocols are now routinely scrutinized by ethics committees, institutional and federal review boards, national and international scientific organizations, and monitoring committees charged with conducting interim analyses. The updated Third Edition of Statistics Applied to Clinical Trials explains classical statistical analyses of clinical trials, but equivalence testing, interim analyses, sequential analyses, meta-analyses, and provides a framework of the best statistical methods currently available for such purposes.
Autor*in
Ton J. Cleophas
Themen in »Statistics Applied to Clinical Trials«
Clinical Trials Likelihood Logistic Regression Pharmaceutical medicine Regression analysis analysis of variance clinical research clinical trial data analysis evidence - based medicine linear regression research statistics
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From the reviews of the fourth edition:
"Readership: Students, physicians and investigators interested in statistical methods for clinical trials. This book was originally written for a course in medical statistics given in the EU sponsored program European Interuniversity Diploma of Pharmaceutical Medicine starting in the year 2000. … it has been expanded and updated in order to serve as a guide and reference-text to students, physicians and investigators." (Andreas Rosenblad, International Statistical Review, Vol. 77 (3), 2009)
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