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 Constipation by Alfred DeMaris, Steven H. Selman
Cover of the book Performance Improvement Through Information Management by Alfred DeMaris, Steven H. Selman
Cover of the book Urban Surveying and Mapping by Alfred DeMaris, Steven H. Selman
Cover of the book Optical Waveguiding and Applied Photonics by Alfred DeMaris, Steven H. Selman
Cover of the book Best Practices for Commercial Roof-Mounted Photovoltaic System Installation by Alfred DeMaris, Steven H. Selman
Cover of the book 3D Surface Reconstruction by Alfred DeMaris, Steven H. Selman
Cover of the book Perioperative Kidney Injury by Alfred DeMaris, Steven H. Selman
Cover of the book Frozen Section Library: Lymph Nodes by Alfred DeMaris, Steven H. Selman
Cover of the book Genetics of Colorectal Cancer by Alfred DeMaris, Steven H. Selman
Cover of the book Physics of the Plasma Universe by Alfred DeMaris, Steven H. Selman
Cover of the book Reviews of Environmental Contamination and Toxicology by Alfred DeMaris, Steven H. Selman
Cover of the book Fjords by Alfred DeMaris, Steven H. Selman
Cover of the book Variation-Aware Design of Custom Integrated Circuits: A Hands-on Field Guide by Alfred DeMaris, Steven H. Selman
Cover of the book Mean Field Games and Mean Field Type Control Theory by Alfred DeMaris, Steven H. Selman
Cover of the book Optimal Control with Aerospace Applications 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