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- Author: Carol E Osborn
- Publisher: Jones & Bartlett Publishers
- ISBN-10: 0763750344
- ISBN-13: 9780763750343
- Format: 18.3 x 22.6 x 1.6 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Essentials of Statistics in Health Information Technology (e-book) (used book) | bookbook.eu
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Description
From the author of Statistical Applications for Health Information Management, this text provides a solid foundation of the fundamentals of statistics in health information technology in an accessible and reader-friendly format. A single case study is woven throughout the book to serve as an example for each statistical process covered. Attention is given to morbidity and mortality measures, graphical display of data, measurement, central tendency and variability, normal distribution and statistical inference, and inferential statistics. Written specifically for health information technology students who need a basic understanding of the topic, this text is ideal for those with a modest background in mathematics and no prior training in statistics. Features: - Introduces students to how statistical techniques can be used to describe and make inferences from healthcare data. - Includes traditional hospital statistics such as average length of stay and total inpatient service days. - Uses examples in both SPSS and Microsoft Excel.
EXTRA 10 % discount with code: EXTRA
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- Author: Carol E Osborn
- Publisher: Jones & Bartlett Publishers
- ISBN-10: 0763750344
- ISBN-13: 9780763750343
- Format: 18.3 x 22.6 x 1.6 cm, minkšti viršeliai
- Language: English English
From the author of Statistical Applications for Health Information Management, this text provides a solid foundation of the fundamentals of statistics in health information technology in an accessible and reader-friendly format. A single case study is woven throughout the book to serve as an example for each statistical process covered. Attention is given to morbidity and mortality measures, graphical display of data, measurement, central tendency and variability, normal distribution and statistical inference, and inferential statistics. Written specifically for health information technology students who need a basic understanding of the topic, this text is ideal for those with a modest background in mathematics and no prior training in statistics. Features: - Introduces students to how statistical techniques can be used to describe and make inferences from healthcare data. - Includes traditional hospital statistics such as average length of stay and total inpatient service days. - Uses examples in both SPSS and Microsoft Excel.
Reviews