Statistics for Health Care Professionals
Statistics for Health Care Professionals: Working with Excel (second edition) is written in a clear, easily followed style keyed to the powerful statistical tool, Microsoft Excel 2007. It introduces the use of statistics applicable to health administration, health policy, public health, health information management, and other professions, emphasizing the logic of probability and statistical analysis in all areas. Coverage includes data acquisition, data display, basics of probability, data distributions, confidence limits and hypothesis testing, statistical tests for categorical data, tests for related and unrelated data, analysis of variance, simple linear regression, multiple regression, and analysis with a dichotomous categorical dependent variable. A glossary and section-by-section review questions round out this uniquely comprehensive and accessible text.
Praise for Statistics for Health Care Professionals
"By using Excel to explain how to conduct a statistical analysis, students will thoroughly grasp not only the mechanics of statistics but the underlying rationale for statistical reasoning."
James V. Porto, PhD, MPA, Director, Executive Master's Programs, Health Policy and Administration School of Public Health, University of North Carolina, Chapel Hil
"Using Excel to teach statistics helped my understanding and makes ultimate sense when teaching statistics in the health care field."
Scott Bankard, MPT, supervisor of acute rehabilitation services, Pitt County Memorial Hospital
"Thanks to this text, my graduate students actually enjoy our health care statistics course. I am struck by how much the authors cover, how clearly they convey some normally difficult concepts, and how much they incorporate new features found in Excel 2007, all in an easily understood manner."
David C. Burchfield, PhD, FHFMA, Associate Professor, Master's of Health Administration, The University of Memphis
James E. Veney is a professor emeritus of health policy and administration at the University of North Carolina at Chapel Hill. He taught courses in research methodology, evaluation methodology, statistics, and international health systems.