Converting Data into Evidence

A Statistics Primer for the Medical Practitioner

Nonfiction, Health & Well Being, Medical, Reference, Biostatistics, Science & Nature, Mathematics, Statistics
Cover of the book Converting Data into Evidence by Alfred DeMaris, Steven H. Selman, Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Alfred DeMaris, Steven H. Selman ISBN: 9781461477921
Publisher: Springer New York Publication: July 23, 2013
Imprint: Springer Language: English
Author: Alfred DeMaris, Steven H. Selman
ISBN: 9781461477921
Publisher: Springer New York
Publication: July 23, 2013
Imprint: Springer
Language: English

Converting Data into Evidence: A Statistics Primer for the Medical Practitioner provides a thorough introduction to the key statistical techniques that medical practitioners encounter throughout their professional careers. These techniques play an important part in evidence-based medicine or EBM. Adherence to EBM requires medical practitioners to keep abreast of the results of medical research as reported in their general and specialty journals. At the heart of this research is the science of statistics. It is through statistical techniques that researchers are able to discern the patterns in the data that tell a clinical story worth reporting. The authors begin by discussing samples and populations, issues involved in causality and causal inference, and ways of describing data. They then proceed through the major inferential techniques of hypothesis testing and estimation, providing examples of univariate and bivariate tests. The coverage then moves to statistical modeling, including linear and logistic regression and survival analysis. In a final chapter, a user-friendly introduction to some newer, cutting-edge, regression techniques will be included, such as fixed-effects regression and growth-curve modeling. A unique feature of the work is the extensive presentation of statistical applications from recent medical literature. Over 30 different articles are explicated herein, taken from such journals. With the aid of this primer, the medical researcher will also find it easier to communicate with the statisticians on his or her research team. The book includes a glossary of statistical terms for easy access. This is an important reference work for the shelves of physicians, nurses, nurse practitioners, physician’s assistants, medical students, and residents. 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Converting Data into Evidence: A Statistics Primer for the Medical Practitioner provides a thorough introduction to the key statistical techniques that medical practitioners encounter throughout their professional careers. These techniques play an important part in evidence-based medicine or EBM. Adherence to EBM requires medical practitioners to keep abreast of the results of medical research as reported in their general and specialty journals. At the heart of this research is the science of statistics. It is through statistical techniques that researchers are able to discern the patterns in the data that tell a clinical story worth reporting. The authors begin by discussing samples and populations, issues involved in causality and causal inference, and ways of describing data. They then proceed through the major inferential techniques of hypothesis testing and estimation, providing examples of univariate and bivariate tests. The coverage then moves to statistical modeling, including linear and logistic regression and survival analysis. In a final chapter, a user-friendly introduction to some newer, cutting-edge, regression techniques will be included, such as fixed-effects regression and growth-curve modeling. A unique feature of the work is the extensive presentation of statistical applications from recent medical literature. Over 30 different articles are explicated herein, taken from such journals. With the aid of this primer, the medical researcher will also find it easier to communicate with the statisticians on his or her research team. The book includes a glossary of statistical terms for easy access. This is an important reference work for the shelves of physicians, nurses, nurse practitioners, physician’s assistants, medical students, and residents. 

More books from Springer New York

Cover of the book Structure and Geometry of Lie Groups by Alfred DeMaris, Steven H. Selman
Cover of the book Equilibrium in the Balance by Alfred DeMaris, Steven H. Selman
Cover of the book Counterterrorism and Cybersecurity by Alfred DeMaris, Steven H. Selman
Cover of the book Residue Reviews by Alfred DeMaris, Steven H. Selman
Cover of the book Optimal Control for Mathematical Models of Cancer Therapies by Alfred DeMaris, Steven H. Selman
Cover of the book Computational Medicine in Data Mining and Modeling by Alfred DeMaris, Steven H. Selman
Cover of the book Strategies for Urban Development in Leipzig, Germany by Alfred DeMaris, Steven H. Selman
Cover of the book The Expression of Attitude by Alfred DeMaris, Steven H. Selman
Cover of the book Quadratic Diophantine Equations by Alfred DeMaris, Steven H. Selman
Cover of the book Intelligent Control and Innovative Computing by Alfred DeMaris, Steven H. Selman
Cover of the book Probability-1 by Alfred DeMaris, Steven H. Selman
Cover of the book Intelligent Technologies and Engineering Systems by Alfred DeMaris, Steven H. Selman
Cover of the book Residue Reviews Residues of Pesticides and other Foreign Chemicals in Foods and Feeds / Rückstands-Berichte Rückstände von Pesticiden und Anderen Fremdstoffen in Nahrungs- und Futtermitteln by Alfred DeMaris, Steven H. Selman
Cover of the book Residue Reviews / Rückstands-Berichte by Alfred DeMaris, Steven H. Selman
Cover of the book The Evolution of Violence by Alfred DeMaris, Steven H. Selman
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy