Author: Carol E. Osborn
Edition: 1
Publisher: Jones & Bartlett Learning
Binding: Kindle Edition
ISBN: B007RGR094
Essentials of Statistics in Health Information Technology
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. Medical books Essentials of Statistics in Health Information Technology. br />
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 Medical books Essentials Of Statistics In Health Information Technology. The Book Depository with availability on over a million titles Essentials of Statistics in Health Information Technology Description: Brand New Book with Free Worldwide Delivery. 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 statistica
Download link for Essentials Of Statistics In Health Information Technology Paperba. 9780763750343
The Book Depository with availability on over a million titles Essentials of Statistics in Health Information Technology Description: Brand New Book with Free Worldwide Delivery. 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 statistica
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 that is perfect for student
"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
"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
Medical Book Essentials of Statistics in Health Information Technology
br />
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.
