Statistics for Health Care Management and Administration (eBook)

David A. Rosenthal is a Chief Information Officer at CampusWorks, Inc. He has over 20 years of health care industry experience in both academic and practitioner settings, having served in roles specific to hospital information technology leadership, multispecialty practice administration, and ambulatory services project management. Rosenthal earned a Master of Public Administration degree from Valdosta State University, and a PhD in Technology Management from Indiana State University. David is a proud veteran of the U.S. Air Force, and resides in Oakland, Tennessee with his wife Allyson. John F. Kros is the Vincent K. McMahon Distinguished Professor in the Marketing and Supply Chain Management Department in the College of Business at East Carolina University, in Greenville, North Carolina. He teaches business decision modeling, statistics, operations and supply chain management, and purchasing and materials management courses. Kros was honored as the College of Business's Scholar/Teacher for 2004???2005, again in 2009???2010, was awarded the College of Business Commerce Club's highest honor, the Teaching Excellence Award, for 2006 and again in 2011, in 2013???2014 was awarded the East Carolina Alumni Association Outstanding Teaching Award, and in 2014???2015 was awarded the Board of Governors Distinguished Professor for Teaching Award. Kros earned his PhD in systems engineering from the University of Virginia, his MBA from Santa Clara University, and his BBA from the University of Texas at Austin. His research interests include health care operations, applied statistics, design of experiments, multi-objective decision making, Taguchi methods, and applied decision analysis. His textbook titled Spreadsheet Modeling for Business Decisions is in the fifth edition. He is also coauthor of Health Care Operations and Supply Chain Management.

Preface
Acknowledgments
The Authors

Part One
Chapter 1- Statistics and Excel
Chapter 2- Excel as a Statistical Tool
Chapter 3- Data Acquisition: Sampling and Data Preparation
Chapter 4- Data Display: Descriptive, Presentation, Excel Graphing Capability
Chapter 5- Basic Concepts of Probability
Chapter 6- Measures of Central Tendency and Dispersion: Data Distributions

Part Two
Chapter 7- Confidence Limits and Hypothesis Testing
Chapter 8- Statistical Tests for Categorical Data
Chapter 9- t Tests for Related and Unrelated Data
Chapter 10- Analysis of Variance
Chapter 11- Simple Linear Regression
Chapter 12- Multiple Regression: Concepts and Calculation
Chapter 13- Extensions of Multiple Regression
Chapter 14- Analysis with a Dichotomous Categorical Dependent Variable

Appendix A Multiple Regression and Matrices

References
Glossary
Index