{"product_id":"medical-risk-prediction-models-with-ties-to-machine-learning-paperback","title":"Medical Risk Prediction Models: With Ties to Machine Learning - 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\u003eThomas A. Gerds\u003c\/b\u003e (Author), \u003cb\u003eMichael W. Kattan\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eMedical Risk Prediction Models: With Ties to Machine Learning\u003c\/strong\u003e is a hands-on book for clinicians, epidemiologists, and professional statisticians who need to make or evaluate a statistical prediction model based on data. The subject of the book is the patient's individualized probability of a medical event within a given time horizon. Gerds and Kattan describe the mathematical details of making and evaluating a statistical prediction model in a highly pedagogical manner while avoiding mathematical notation. Read this book when you are in doubt about whether a Cox regression model predicts better than a random survival forest.\u003c\/p\u003e\u003cp\u003eFeatures: \u003c\/p\u003e\u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eAll you need to know to correctly make an online risk calculator from scratch\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eDiscrimination, calibration, and predictive performance with censored data and competing risks\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eR-code and illustrative examples\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eInterpretation of prediction performance via benchmarks\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eComparison and combination of rival modeling strategies via cross-validation\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003e\u003cb\u003eThomas A. Gerds\u003c\/b\u003e is a professor at the Biostatistics Unit at the University of Copenhagen and is affiliated with the Danish Heart Foundation. He is the author of several R-packages on CRAN and has taught statistics courses to non-statisticians for many years.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eMichael W. Kattan\u003c\/b\u003e is a highly cited author and Chair of the Department of Quantitative Health Sciences at Cleveland Clinic. He is a Fellow of the American Statistical Association and has received two awards from the Society for Medical Decision Making: the Eugene L. Saenger Award for Distinguished Service, and the John M. Eisenberg Award for Practical Application of Medical Decision-Making Research.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eThomas A. Gerds\u003c\/strong\u003e is professor at the biostatistics unit at the University of Copenhagen. He is affiliated with the Danish Heart Foundation. He is author of several R-packages on CRAN and has taught statistics courses to non-statisticians for many years. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eMichael Kattan\u003c\/b\u003e is a highly cited author and Chair of the Department of Quantitative Health Sciences at Cleveland Clinic. He is a Fellow of the American Statistical Association and has received two awards from the Society for Medical Decision Making: the Eugene L. Saenger Award for Distinguished Service, and the John M. Eisenberg Award for Practical Application of Medical Decision Making Research. \u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 290\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.66 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 29, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47685932581123,"sku":"9780367673734","price":130.96,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0588\/9310\/7359\/files\/SHZ3T3ZlbVZpNzE1dy9QVG81Z0ZuQT09.webp?v=1769489737","url":"https:\/\/annizon.com\/en-at\/products\/medical-risk-prediction-models-with-ties-to-machine-learning-paperback","provider":"annizon.com","version":"1.0","type":"link"}