Author: Ton J. Cleophas
Edition: 5th ed. 2012
Publisher: Springer
Binding: Hardcover
ISBN: 940072862X
Statistics Applied to Clinical Studies
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. Medical books Statistics Applied to Clinical Studies. 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 Medical books Statistics Applied to Clinical Studies. Statistics Applied to Clinical Studies
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Statistics Applied to Clinical Studies
author aeilko h zwinderman author ton j cleophas format hardback language english publication year 09 02 2012 subject medicine subject 2 medicine textbooks study guides title statistics applied to clinical studies author cleophas ton j zwinderman aeilko h publisher springer verlag publication date feb 07 2012 pages 743 binding hardcover edition 5 th dimensions 6 50 wx 9 50 hx 1 75 d isbn 940072862 x subject medical laboratory medicine description thanks to the omnipresent computer current stat
Statistics Applied to Clinical Studies SPVMD 9789400728622 09789400728622
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Medical Book Statistics Applied to Clinical Studies
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.
