Medical Risk Prediction Models: With Ties to Machine Learning

272.00

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توصيل مجاني

احصل عليه خلال 31 مايو - 3 يونيو

اطلب في غضون 20 ساعة 9 دقيقة

التوصيل بواسطة نوون

البائع ذو تقييم عالي

الدفع عند الاستلام

عملية تحويل آمنة

عروض البنوك

احصل على 5% رصيد مسترجع باستخدام بطاقة بنك المشرق نون الائتمانية. اشترك الآن.

البائع

يتم البيع عبر

بوكسمارت

3.7

61% تقييم إيجابي للبائع

المنتج كما في الوصف

70%

شريك لنون منذ

7+ سنة

توصيل مجاني لنقطة نون ومراكز الاستلام

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المواصفات

الناشر	Chapman and Hall/CRC; 1st edition
رقم الكتاب المعياري الدولي 13	9780367673734
رقم الكتاب المعياري الدولي 10	0367673738
الكاتب	Thomas A. Gerds
تنسيق الكتاب	Paperback

اللغة	English
وصف الكتاب	Medical Risk Prediction Models: With Ties to Machine Learning 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.Features:All you need to know to correctly make an online risk calculator from scratchDiscrimination, calibration, and predictive performance with censored data and competing risksR-code and illustrative examplesInterpretation of prediction performance via benchmarksComparison and combination of rival modeling strategies via cross-validationThomas A. Gerds 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.Michael W. Kattan 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.
عن المؤلف	Thomas A. Gerds 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. Michael Kattan 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.
تاريخ النشر	2022-08-29
عدد الصفحات	312 pages

مجموع السلة  272.00