{"product_id":"medical-risk-prediction-models-with-ties-to-machine-learning-9780367673734","title":"Medical Risk Prediction Models: With Ties to Machine Learning","description":"\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\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=AUTH-13784471\"\u003eThomas A. Gerds\u003c\/a\u003e, \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=AUTH-13885508\"\u003eMichael W. Kattan\u003c\/a\u003e\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e CRC Press\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 08\/29\/2022\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 312\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.97lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.21h x 6.14w x 0.66d\u003cbr\u003e\u003cb\u003eISBN13:\u003c\/b\u003e 9780367673734\u003cbr\u003e\u003cb\u003eISBN10:\u003c\/b\u003e 0367673738\u003cbr\u003e\u003cb\u003eBISAC Categories:\u003c\/b\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-MAT\"\u003eMathematics\u003c\/a\u003e | \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-MAT029000\"\u003eProbability \u0026amp; Statistics | General\u003c\/a\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-MED\"\u003eMedical\u003c\/a\u003e | \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-MED090000\"\u003eBiostatistics\u003c\/a\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-MED\"\u003eMedical\u003c\/a\u003e | \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-MED028000\"\u003eEpidemiology\u003c\/a\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\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\u003cp\u003e\u003ci\u003eThis title is not returnable\u003c\/i\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"CRC Press","offers":[{"title":"Default Title","offer_id":44586163044589,"sku":"9780367673734","price":109.48,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0550\/8097\/6621\/products\/img_676a3ed6-af81-40f0-b5e9-85c6cf9c7442.jpg?v=1702174490","url":"https:\/\/sureshotbooks.com\/products\/medical-risk-prediction-models-with-ties-to-machine-learning-9780367673734","provider":"SureShot Books Publishing LLC","version":"1.0","type":"link"}