{"product_id":"statistical-topics-in-health-economics-and-outcomes-research-paperback","title":"Statistical Topics in Health Economics and Outcomes Research - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003ePhd Alemayehu\u003c\/b\u003e (Editor), \u003cb\u003ePhd Cappelleri\u003c\/b\u003e (Editor), \u003cb\u003ePhd Emir\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWith ever-rising healthcare costs, evidence generation through Health Economics and Outcomes Research (HEOR) plays an increasingly important role in decision-making about the allocation of resources. Accordingly, it is now customary for health technology assessment and reimbursement agencies to request for HEOR evidence, in addition to data from clinical trials, to inform decisions about patient access to new treatment options. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWhile there is a great deal of literature on HEOR, there is a need for a volume that presents a coherent and unified review of the major issues that arise in application, especially from a statistical perspective. \u003cb\u003eStatistical Topics in Health Economics and Outcomes Research\u003c\/b\u003e fulfils that need by presenting an overview of the key analytical issues and best practice. Special attention is paid to key assumptions and other salient features of statistical methods customarily used in the area, and appropriate and relatively comprehensive references are made to emerging trends. The content of the book is purposefully designed to be accessible to readers with basic quantitative backgrounds, while providing an in-depth coverage of relatively complex statistical issues.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe book will make a very useful reference for researchers in the pharmaceutical industry, academia, and research institutions involved with HEOR studies. The targeted readers may include statisticians, data scientists, epidemiologists, outcomes researchers, health economists, and healthcare policy and decision-makers.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDemissie Alemayehu\u003c\/strong\u003e, PhD, is Vice President and Head of the Statistical Research and Data Science Center at Pfizer Inc. He earned his Ph.D. in Statistics from the University of California at Berkeley. He is a Fellow of the American Statistical Association, has published widely, and has served on the editorial boards of major journals, including the \u003ci\u003eJournal of the American Statistical Association \u003c\/i\u003eand the \u003ci\u003eJournal of Nonparametric Statistics\u003c\/i\u003e. Additionally, he has been on the faculties of both Columbia University and Western Michigan University. He has co-authored \u003ci\u003ePatient-Reported Outcomes: Measurement, Implementation and Interpretation\u003c\/i\u003e, published by Chapman \u0026amp; Hall\/CRC Press.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eJoseph C. Cappelleri, PhD, MPH, MS is Executive Director in the Statistical Research and Data Science Center at Pfizer Inc. He earned his M.S. in Statistics from the City University of New York, Ph.D. in Psychometrics from Cornell University, and M.P.H. in Epidemiology from Harvard University. As an adjunct professor, he has served on the faculties of Brown University, University of Connecticut, and Tufts Medical Center. He has delivered numerous conference presentations and has published extensively on clinical and methodological topics, including regression-discontinuity designs, meta-analyses, and health measurement scales. He is lead author of the monograph \u003ci\u003ePatient-Reported Outcomes: Measurement, Implementation and Interpretation\u003c\/i\u003e. He is a Fellow of the American Statistical Association.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBirol Emir, PhD, is Senior Director and Statistics Lead in the Statistical Research and Data Science Center at Pfizer Inc. In addition, he is an Adjunct Professor of Statistics at Columbia University in New York and External PhD Committee Member in the Graduate School of Arts and Sciences at Rutgers, The State University of New Jersey. Recently, his primary focuses have been on big data, predictive modeling and genomics data analysis. He has numerous publications in refereed journals and authored a book chapter in \u003ci\u003eA Picture Is Worth a Thousand Tables: Graphics in Life Sciences\u003c\/i\u003e. He has taught several short courses and has given invited presentations.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eKelly H. Zou, PhD, PStat(R), \u003cb\u003e \u003c\/b\u003eis Senior Director and Analytic Science Lead at Pfizer Inc. She is a Fellow of the American Statistical Association and an Accredited Professional Statistician. She has published extensively on clinical and methodological topics. She has served on the editorial board of \u003ci\u003eSignificance\u003c\/i\u003e, as an Associate Editor for \u003ci\u003eStatistics in Medicine\u003c\/i\u003e and \u003ci\u003eRadiology\u003c\/i\u003e, and as a Deputy Editor for \u003ci\u003eAcademic Radiology\u003c\/i\u003e. She was Associate Professor of Radiology, Director of Biostatistics, and Lecturer of Health Care Policy at Harvard Medical School. She was Associate Director of Rates at Barclays Capital. She has co-authored \u003ci\u003eStatistical Evaluation of Diagnostic Performance: Topics in ROC Analysis \u003c\/i\u003eand \u003ci\u003ePatient-Reported Outcomes: Measurement, Implementation and Interpretation\u003c\/i\u003e, both published by Chapman and Hall\/CRC. She authored a book chapter in \u003ci\u003eLeadership and Women in Statistics\u003c\/i\u003e by the same publisher. She was the theme editor on statistics books entitled \u003ci\u003eMathematical and Statistical Methods for Diagnoses and Therapies\u003c\/i\u003e. \u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 210\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.44 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 30, 2021\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239938978066,"sku":"9781032096049","price":110.14,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/aHVBNFNmbVo1ZHdHWEZHYVEvS2F1QT09.webp?v=1777890393","url":"https:\/\/ckbookstore.net\/products\/statistical-topics-in-health-economics-and-outcomes-research-paperback","provider":"CK BOOKSTORE","version":"1.0","type":"link"}