Statistics in Medicine. Questo articolo non è disponibile.
Lingua: inglese
Editore: Academic Press, 2020
- Rilegato
- Nuovo

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Codice articolo 9fe637279097fece6f1810f416b8d686
- Titolo
- Statistics in Medicine
- Autore
- Riffenburgh, Robert H.
- Editore
- Academic Press
- Anno di pubblicazione
- 2020
- Condizione
- new
- Rilegatura
- Rilegato
- Lingua
- inglese
- ISBN 10
- 0128153288
- ISBN 13
- 9780128153284
- Edizione
- quarta edizione
- Peso dell'articolo
- 1,38 chilogrammi
Statistics in Medicine, Fourth Edition, helps medical and biomedical investigators design and answer questions about analyzing and interpreting data and predicting the sample size required to achieve useful results. It makes medical statistics easy for the non-biostatistician by outlining common methods used in 90% of medical research. The text covers how to plan studies from conception to publication, what to do with data, and follows with step-by-step instructions for biostatistical methods from the simplest levels, to more sophisticated methods now used in medical articles. Examples from almost every medical specialty, and from dentistry, nursing, pharmacy and health care management are provided.
This book does not require background knowledge of statistics or mathematics beyond high school algebra and provides abundant clinical examples and exercises to reinforce concepts. It is a valuable source for biomedical researchers, healthcare providers and anyone who conducts research or quality improvement projects.
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Informazioni sull’autore
Daniel L. Gillen, PhD., is Chancellor’s Professor of Statistics, Epidemiology and Biostatistics, and Global Health & Biobehavioral Sciences at the University of California, Irvine (UCI). He is also Associate Dean for Experiential Learning in the Donald Bren School of Information and Computer Sciences at UCI. He is a Fellow of the American Association for the Advancement of Science, Fellow of the American Statistical Association, and Past President of the Western North American Region of the International Biometric Society. He leads the Data and Statistics Core for the Alzheimer's Disease Research Center at UCI and previously led the Biostatistics Shared Resource at the UCI Chao Family Cancer Center. He serves as a consultant to the FDA and the biopharmaceutical industry and has served on more than 80 independent safety monitoring boards for multicenter international clinical trials. He has published over 220 peer-reviewed articles in statistical methods and clinical science journals.
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