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* Description * Statistics and Care Fraud: How to Save Billions helps the public to become more informed citizens through discussions of real world care examples and fraud assessment applications. The author presents statistical and analytical methods used in care fraud audits without requiring any mathematical background. The public suffers from care overpayments either directly as patients or indirectly as taxpayers, and fraud analytics provides ways to handle the large size and complexity of these cls. The book starts with a brief overview of global care systems such as U.S. Medicare. This is followed by a discussion of medical overpayments and assessment initiatives using a variety of real world examples. The book covers subjects as: • Description and visualization of medical cls data • Prediction of fraudulent transactions • Detection of excessive billings • Revealing new fraud patterns • Challenges and rtunities with care fraud analytics Dr. Tahir Ekin is the Brandon Dee Roberts Associate Professor of Quantitative Methods in McCoy College of Business, Texas State University. His previous work experience includes a working as a statistician on care fraud detection. His scholarly work on care fraud has been published in a variety of academic journals including International Statistical Review, The American Statistician, and Applied Stochastic Models in Business and Industry. He is a recipient of the Texas State University 2018 Presidential Distinction Award in Scholar Activities and the ASA/NISS y-Bis 2016 Best Paper Awards. He has developed and taught courses in the areas of business statistics, optimization, data mining and analytics. Dr. Ekin also serves as Vice President of the International Society for Business and Industrial Statistics. Number of Pages: 141 p. ; Genre: Mathematics Sub-Genre: Probability & Statistics Series Title: Asa-crc Series on Statistical Reasoning in Science and Society Format: Paperback Publisher: Taylor & Francis Book theme: General Author: Tahir Ekin Language: English Estimated shipping dimensions: 5.5INCH X 0.25INCH X 1.0INCH DPCI : 248-65-9157 UPC : 9781138197428 TCIN : 76423905 Estimated shippimg weight: 0.5POUND