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Statistical Literacy for Clinical Practitioners

ISBN-13: 9783319345833 / Angielski / Miękka / 2016 / 485 str.

William H. Holmes; William C. Rinaman
Statistical Literacy for Clinical Practitioners William H. Holmes William C. Rinaman 9783319345833 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Statistical Literacy for Clinical Practitioners

ISBN-13: 9783319345833 / Angielski / Miękka / 2016 / 485 str.

William H. Holmes; William C. Rinaman
cena 330,96
(netto: 315,20 VAT:  5%)

Najniższa cena z 30 dni: 328,90
Termin realizacji zamówienia:
ok. 10-14 dni roboczych
Dostawa w 2026 r.

Darmowa dostawa!

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.

Kategorie:
Nauka, Medycyna
Kategorie BISAC:
Medical > Biostatistics
Medical > Epidemiologia
Mathematics > Prawdopodobieństwo i statystyka
Wydawca:
Springer
Język:
Angielski
ISBN-13:
9783319345833
Rok wydania:
2016
Wydanie:
Softcover Repri
Ilość stron:
485
Waga:
0.69 kg
Wymiary:
23.39 x 15.6 x 2.57
Oprawa:
Miękka
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

"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 knowledge about statistical concepts with the teaching of how to use a common statistical software, IBM® SPSS®. ... the book is a useful addition to many similar tomes on the subject. It should be of value primarily to those who are already initiated to various statistical techniques and are looking for a resource to help them in using the SPSS software." (Rakesh Aggarwal, The National Medical Journal of India, Vol. 28 (3), 2015)

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

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.

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



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