TY - BOOK ID - 7542648 TI - Statistics Applied to Clinical Studies AU - Cleophas, Ton J. AU - Zwinderman, Aeilko H. PY - 2012 SN - 940072862X 9400794053 1280395346 9786613573261 9400728638 9789400794054 PB - Dordrecht : Springer Netherlands : Imprint: Springer, DB - UniCat KW - Clinical trials -- Statistical methods. KW - Clinical Trials as Topic -- methods. KW - Data Interpretation, Statistical. KW - Drugs -- Testing -- Statistical methods. KW - Statistics as Topic KW - Evaluation Studies as Topic KW - Decision Support Techniques KW - Epidemiologic Study Characteristics as Topic KW - Epidemiologic Methods KW - Health Care Evaluation Mechanisms KW - Investigative Techniques KW - Medical Informatics Applications KW - Quality of Health Care KW - Analytical, Diagnostic and Therapeutic Techniques and Equipment KW - Public Health KW - Medical Informatics KW - Environment and Public Health KW - Information Science KW - Health Care Quality, Access, and Evaluation KW - Health Care KW - Data Interpretation, Statistical KW - Clinical Trials as Topic KW - Mathematics KW - Physical Sciences & Mathematics KW - Mathematical Statistics KW - Statistics. KW - Statistical analysis KW - Statistical data KW - Statistical methods KW - Statistical science KW - Medicine. KW - Laboratory medicine. KW - Internal medicine. KW - Biomedicine. KW - Biomedicine general. KW - Laboratory Medicine. KW - Statistics, general. KW - Statistics for Life Sciences, Medicine, Health Sciences. KW - Internal Medicine. KW - Econometrics KW - Medical laboratories. KW - Medicine, Internal KW - Medicine KW - Diagnosis, Laboratory KW - Health facilities KW - Laboratories KW - Clinical sciences KW - Medical profession KW - Human biology KW - Life sciences KW - Medical sciences KW - Pathology KW - Physicians KW - StatisticsĀ . KW - Biomedicine, general. KW - Health Workforce KW - Clinical medicine KW - Clinical pathology KW - Diagnostic laboratory tests KW - Laboratory diagnosis KW - Laboratory medicine KW - Medical laboratory diagnosis KW - Diagnosis UR - https://www.unicat.be/uniCat?func=search&query=sysid:7542648 AB - Thanks to the omnipresent computer, current statistics can include data files of many thousands of values, and can perform any exploratory analysis in less than seconds. This development, however fascinating, generally does not lead to simple results. We should not forget that clinical studies are, mostly, for confirming prior hypotheses based on sound arguments, and the simplest tests provide the best power and are adequate for such studies. In the past few years the authors of this 5th edition, as teachers and research supervisors in academic and top-clinical facilities, have been able to closely observe the latest developments in the field of clinical data analysis, and they have been able to assess their performance. In this 5th edition the 47 chapters of the previous edition have been maintained and upgraded according to the current state of the art, and 20 novel chapters have been added after strict selection of the most valuable and promising novel methods. The novel methods are explained using practical examples and step-by-step analyses readily accessible for non-mathematicians. All of the novel chapters have been internationally published by the authors in peer-reviewed journal, including the American Journal of Therapeutics, the European Journal of Clinical Investigation, The International journal of Clinical Pharmacology and therapeutics, and other journals, and permission is granted by all of them to use this material in the current book. We should add that the authors are well-qualified in their fields of knowledge. Professor Zwinderman is president-elect of the International Society of Biostatistics, and Professor Cleophas is past-president of the American College of Angiology. From their expertise they should be able to make adequate selections of modern methods for clinical data analysis for the benefit of physicians, students, and investigators. The authors, although from a different discipline, one clinician and one statistician, have been working and publishing together for over 10 years, and their research of statistical methodology can be characterized as a continued effort to demonstrate that statistics is not mathematics but rather a discipline at the interface of biology and mathematics. They firmly believe that any reader can benefit from this clinical approach to statistical data analysis. ER -