Converting data into evidence a statistics primer for the medical practitioner Alfred DeMaris, Steven H. Selman

Format:

Book

Author/Creator:

DeMaris, Alfred, 1946-

Contributor:

Selman, Steven H.

Language:

English

Subjects (All):

Evidence-based medicine.

Medical statistics.

Statistics.

Evidence-Based Medicine.

Statistics as Topic.

statistics.

Medical Subjects:

Evidence-Based Medicine.

Statistics as Topic.

Genre:

Medical statistics

Physical Description:

1 online resource

Place of Publication:

[New York] Springer 2013

Language Note:

English

System Details:

text file

PDF

Summary:

Converting Data into Evidence: A Statistics Primer for the Medical Practitioner provides a thorough introduction to the key statistical techniques that medical practitioners encounter throughouttheir 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 authorsbegin by discussing samples and populations, issues involved in causality and causal inference, and ways of describing data. Theythenproceed 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 asfixed-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, physicians assistants, medical students, and residents

Contents:

Statistics and Causality Summarizing Data Testing a Hypothesis Additional Inferential Procedures Bivariate Statistical Techniques Linear Regression Models Logistic Regression Survival Analysis Other Advanced Techniques

Notes:

Print version record

Includes bibliographical references (pages 211-214) and index

Other Format:

Print version Demaris, Alfred. Converting data into evidence

ISBN:

9781461477921

1461477921

OCLC:

854761047

Access Restriction:

Restricted for use by site license