There is a vast need for statistical analysis and applications in health care administration. However, students typically have weak quantitative skills. Yet students typically come armed with weak quantitative skills and a poor understanding of statistics. Statistics are a key element of many health administration courses - financial management, quantitative methods etc. but texts in this area presume skills in this area often leaving students adrift. Statistics in Health Administration Kept Simple covers essential fundamentals in a user-friendly way with a strong emphasis on practical applica
This book not only helps students develop the necessary data analysis skills, but it also boosts familiarity with important software that employers will be looking for.
Statistics in Health Administration: Advanced concepts and applications
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.
If this was designed as a single server system, with an arrival rate of 40 patients per hour and a service rate of five ... To calculate the minimum number of servers needed so that the arrival rate, on average, is less than the system ...
Vital and Health Statistics: Data from the national vital statistics system. Series 20
Statistics available in SCATTERGRAM include the Pearson r as well as four statistics that relate to linear regression analysis ( discussed in the next chapter ) . Specifically , statistics 1 and 3 call for the Pearson r and its sig ...
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.
This logical book and CD-ROM are a primer for any healthcare manager embarking on the daunting task of collecting and compiling meaningful data.
This concise text introduces basic concepts that underpin medical statistics and, using everyday clinical examples, highlights the importance of statistical principles to understanding and implementing research findings in routine clinical ...
The interested reader can consult one of many mathematical statistics textbooks, for example, Larsen and Marx (1) or Rice (2). In the sections that follow, some of the more frequently encountered sampling distributions are discussed.