Statistical applications for health information management (Book, 2006) [WorldCat.org]
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Statistical applications for health information management
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Statistical applications for health information management

Author: Carol E Osborn
Publisher: Sudbury, Mass. : Jones and Bartlett Publishers, ©2006.
Edition/Format:   Print book : English : 2nd edView all editions and formats
Summary:
"Statistical Applications for Health Information Management, Second Edition covers the basic biostatistics, descriptive statistics, and inferential statistics that are unique to health information management (HIM). This text provides the essential theory while emphasizing practical applications that health information management professionals use in the real world every day." "New topics and features include: a  Read more...
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Details

Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Carol E Osborn
ISBN: 076372842X 9780763728427
OCLC Number: 57236019
Description: x, 390 pages : illustrations ; 26 cm
Contents: Commonly used frequency measures in health care --
Graphic display of data --
Introduction to measurement --
Measures of central tendency and variability --
The normal distribution and statistical inference --
Hypothesis testing of the difference between two population means --
Analysis of variance --
Correlation and linear regression --
Chi square --
Nonparametric methods.
Responsibility: Carol E. Osborn.
More information:

Abstract:

"Statistical Applications for Health Information Management, Second Edition covers the basic biostatistics, descriptive statistics, and inferential statistics that are unique to health information management (HIM). This text provides the essential theory while emphasizing practical applications that health information management professionals use in the real world every day." "New topics and features include: a discussion of percentiles and their use in benchmarking; an example "abbreviated" hospital database that allows students to reinforce statistical theory in practical applications; examples of data collection using ICD-10; exercises that apply statistical knowledge to real world examples; development of models to predict length of stay; and how to compare an organization's performance with state and national benchmarks."--BOOK JACKET.

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