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Statistical Literacy for Clinical Practitioners

Autor William H. Holmes, William C. Rinaman
en Limba Engleză Hardback – 4 mai 2015
This textbook on statistics is written for students in medicine, epidemiology, and public health. It builds on the important role evidence-based medicine now plays in the clinical practice of physicians, physician assistants and allied health practitioners. By bringing research design and statistics to the fore, this book can integrate these skills into the curricula of professional programs. Students, particularly practitioners-in-training, will learn statistical skills that are required of today’s clinicians. Practice problems at the end of each chapter and downloadable data sets provided by the authors ensure readers get practical experience that they can then apply to their own work. 
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Specificații

ISBN-13: 9783319125497
ISBN-10: 3319125494
Pagini: 487
Ilustrații: XI, 485 p. 340 illus.
Dimensiuni: 155 x 235 x 32 mm
Greutate: 0.87 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Public țintă

Graduate

Cuprins

Overview.- The Evidence Pyramid.- Case Study.- Case-control Study.- Randomized Controlled Trial.- Meta-analysis.- References.- Exercise Questions.

Recenzii

“This is a very helpful book for understanding the statistical interpretation of medical literature. It also provides a guide to applying commonly used statistical tools and methods. … This book is excellent. It is a valuable resource for getting a basic understanding of statistics and it can be used as a reference by various levels of health professionals and students.” (Vedang J. Bhavsar, Doody's Book Reviews, June, 2015)
“It seeks to integrate the imparting of knowledgeabout statistical concepts with the teaching of how to use a common statisticalsoftware, IBM® SPSS®. … the book is a useful addition tomany similar tomes on the subject. It should be of value primarily to those whoare already initiated to various statistical techniques and are looking for aresource to help them in using the SPSS software.” (Rakesh Aggarwal, TheNational Medical Journal of India, Vol. 28 (3), 2015)

Notă biografică

William H. Holmes has a Ph.D. in psychology from the University of Massachusetts at Amherst.  He is an associate professor of physician assistant studies and psychology at Le Moyne College, Syracuse, NY, and research coordinator for Le Moyne’s Department of Physician Assistant Studies.  Twice named the Instructor of the Year by Le Moyne’s Physician Assistant Student Society, Professor Holmes teaches statistics and technical writing to physician assistant students and co-mentors their master’s projects.
William C. Rinaman has a Ph.D. in statistics from American University.  He was a professor in the Department of Mathematics and Computer Science at Le Moyne College in Syracuse, NY, for 31 years.  He is now retired and living in Pinehurst, NC, where he enjoys playing golf and croquet.  He is currently doing volunteer tutoring and adjunct teaching at Sandhills Community College in Pinehurst.

Textul de pe ultima copertă

This textbook on statistics is written for students in medicine, epidemiology, and public health. It builds on the important role evidence-based medicine now plays in the clinical practice of physicians, physician assistants and allied health practitioners. By bringing research design and statistics to the fore, this book can integrate these skills into the curricula of professional programs. Students, particularly practitioners-in-training, will learn statistical skills that are required of today’s clinicians. Practice problems at the end of each chapter and downloadable data sets provided by the authors ensure readers get practical experience that they can then apply to their own work. 
Topics covered include:  
Functions of Statistics in Clinical Research
Common Study Designs
Describing Distributions of Categorical and Quantitative Variables
Confidence Intervals and Hypothesis Testing
Documenting Relationships in Categorical and Quantitative Data<
Assessing Screening and Diagnostic Tests
Comparing Means of Independent and Related Samples
Linear Regression
Binary Logistic Regression
Survival Analysis
Regression Analysis of Count Data

Caracteristici

Reviews medical statistics commonly used in clinical research with detailed instruction for implementation in SPSS Provides hands-on experience in generating those statistics and useful screenshots Gives a relatively non-technical overview that uses examples and data sets taken from actual studies Includes supplementary material: sn.pub/extras Request lecturer material: sn.pub/lecturer-material