We are bombarded with statistical data each and every day, and healthcare professionals are no exception. All segments of healthcare rely on data provided by insurance companies, consultants, research firms, and the federal government to help them make a host of decisions regarding the delivery of medical services.
We are bombarded with statistical data each and every day, and healthcare professionals are no exception. All segments of healthcare rely on data provided by insurance companies, consultants, research firms, and the federal government to help them make a host of decisions regarding the delivery of medical services.
Dr. David J. Smith is the Proprietor of Technis Consultancy and has over forty years of experience in reliability and risk assessment and training courses. He is a self-starter who as a leading consultant, and previously as a senior manager in a number of large organizations, has been proactive in the areas of reliability and risk engineering and software quality in both onshore and offshore projects. He's also a major contributor to national and international standards on functional safety-integrity. An innovator with both management and technical skills in a range of industries who is well known for his contribution to the risk, reliability and quality profession. Author of 8 successful books and numerous papers. Two of his books are regarded as the standard works on the subject. A consultant in his field, for over 30 years, and creator of 6 reliability data and prediction software packages widely used in the profession. His main books are: Reliability, Maintainability and Risk, 9th Edition, Elsevier and The Safety Critical Systems Handbook, 4th edition, 2010, Elsevier.
Inhaltsangabe
Foreword. Preface. Acknowledgements. About the Author. Introduction. 1 Why One Needs Statistical Techniques. 2 Probability and Its Rules. 3 Dealing with Variables. 4 Comparing Variables. 5 Presenting Data and Establishing Trends. 6 Dealing with Attributes. 7 Testing for Significance (Attributes). 8 Correlation and Regression. 9 Handling Numbers (Large and Small). 10 An Introduction to Risk. 11 A Final Word. Appendices. Index.
Foreword. Preface. Acknowledgements. About the Author. Introduction. 1 Why One Needs Statistical Techniques. 2 Probability and Its Rules. 3 Dealing with Variables. 4 Comparing Variables. 5 Presenting Data and Establishing Trends. 6 Dealing with Attributes. 7 Testing for Significance (Attributes). 8 Correlation and Regression. 9 Handling Numbers (Large and Small). 10 An Introduction to Risk. 11 A Final Word. Appendices. Index.
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