Practical Statistics for Medical Research - Couverture souple
Livre 6 sur 113: Chapman & Hall/CRC Texts in Statistical Science
Synopsis
This book is primarily aimed at medical researchers and may also be useful to medical students, to clinicians who wish to understand the principles of the design and analysis of research, and to those attending postgraduate courses in medical statistics. The book aims to provide an understanding of the basic principles that underlie research design, data analysis and the interpretation of results and to enable the reader to carry out a wide range of statistical analyses. The emphasis is on the practical aspects of the design and analysis of medical research and attention is paid to the interpretation and presentation of results. By discussing the use and misuse of statistics the book aims to give the reader the material to judge the appropriateness of the methods and interpretation in papers published in medical journals. In most of the cases contained in the book the raw data is given so that analyses can be reproduced either by computer or by hand calculation.
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Présentation de l'éditeur
Most medical researchers, whether clinical or non-clinical, receive some background in statistics as undergraduates. However, it is most often brief, a long time ago, and largely forgotten by the time it is needed. Furthermore, many introductory texts fall short of adequately explaining the underlying concepts of statistics, and often are divorced from the reality of conducting and assessing medical research.
Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background.
The author draws on twenty years of experience as a consulting medical statistician to provide clear explanations to key statistical concepts, with a firm emphasis on practical aspects of designing and analyzing medical research. The text gives special attention to the presentation and interpretation of results and the many real problems that arise in medical research.
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