{"product_id":"absolute-risk-9781466561656","title":"Absolute Risk","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eAbsolute Risk: Methods and Applications in Clinical Management and Public Health provides theory and examples to demonstrate the importance of absolute risk in counseling patients, devising public health strategies, and clinical management. The book provides sufficient technical detail to allow statisticians, epidemiologists, and clinicians to build, test, and apply models of absolute risk. \u003c\/p\u003e\u003cb\u003e\u003c\/b\u003e\u003cp\u003eFeatures:\u003cbr\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cli\u003eProvides theoretical basis for modeling absolute risk, including competing risks and cause-specific and cumulative incidence regression \u003c\/li\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cli\u003eDiscusses various sampling designs for estimating absolute risk and criteria to evaluate models\u003c\/li\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cli\u003eProvides details on statistical inference for the various sampling designs\u003c\/li\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cli\u003eDiscusses criteria for evaluating risk models and comparing risk models, including both general criteria and problem-specific expected losses in well-defined clinical and public health applications \u0026lt;\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\"Written by two leading experts in the field, this book provides a comprehensive overview of absolute risk, including both theoretical basis and clinical implications before and after the disease diagnosis. Equipped with sufficient technical details on the estimation and inference of absolute risk aswell as a range of real examples, this book is targeted toward a broad audience, including epidemiologists, clinicians, and statisticians. While a few other books on theoretical aspects of absolute risk are available in the literature, the book by Pfeiffer and Gail treats absolute risk from several new angles . . .\" \u003cbr\u003e\u003cem\u003e~Journal of the American Statistical Association\u003c\/em\u003e\u003c\/p\u003e\n\u003cp\u003e\"The book by Pfeiffer and Gail leads us into the higher statistical levels of predicting the medical future. The main focus is on the concept of the absolute risk of an event because this has a clinically meaningful interpretation for the individual person. The much more commonly reported hazard ratios of health research do not provide a directly useful number for the single subject...The examples are about the real world (mostly cancer research), and the mathematics provide all the formula for building a well‐calibrated absolute risk model and the validation study...The book contains a lot of material which is very difficult to find elsewhere, for example, on family studies, handling of missing data, and landmark analysis with time-dependent covariates. Overall, I found the book to provide a very complete documentation of a highly important subject. The authors are to be thanked for their thoroughness and congratulated for their work, which should be useful for many real‐world applications of absolute risk.\"\u003cbr\u003e\u003cem\u003e~Biometrics\u003c\/em\u003e\u003c\/p\u003e\n\u003cbr\u003e\u003cp\u003e\"Written by two leading experts in the field, this book provides a comprehensive overview of absolute risk, including both theoretical basis and clinical implications before and after the disease diagnosis. Equipped with sufficient technical details on the estimation and inference of absolute risk aswell as a range of real examples, this book is targeted toward a broad audience, including epidemiologists, clinicians, and statisticians. While a few other books on theoretical aspects of absolute risk are available in the literature, the book by Pfeiffer and Gail treats absolute risk from several new angles . . .\" \u003cem\u003e~Journal of the American Statistical Association\u003c\/em\u003e\u003c\/p\u003e\n\u003cp\u003e\"This book provides an excellent comprehensive basis for researchers or advanced courses devoted to the development and assessment of absolute risk models. Ruth Pfeiffer and Mitchell Gail have a long history of active and successful research in the field of risk prediction modeling, the first publication of what has become known as the \u003ci\u003eGail-Model \u003c\/i\u003efor breast cancer risk prediction having appeared over 25 years ago. This background allows them to present a broad overview of various model situations and modeling approaches together with various real-life data examples. It is a pleasure to see that assumptions and inference are treated with mathematical stringency in all addressed topics. The mathematical framework is introduced, motivated, and translated into a clinically meaningful context using worked examples, so as to give access to mathematically less experienced readers. \u003cbr\u003e\u003cem\u003e~Biometric Journal\u003c\/em\u003e\u003c\/p\u003e\n\u003cp\u003e\"The book by Pfeiffer and Gail leads us into the higher statistical levels of predicting the medical future. The main focus is on the concept of the absolute risk of an event because this has a clinically meaningful interpretation for the individual person. The much more commonly reported hazard ratios of health research do not provide a directly useful number for the single subject...The examples are about the real world (mostly cancer research), and the mathematics provide all the formula for building a well‐calibrated absolute risk model and the validation study...The book contains a lot of material which is very difficult to find elsewhere, for example, on family studies, handling of missing data, and landmark analysis with time-dependent covariates. Overall, I found the book to provide a very complete documentation of a highly important subject. The authors are to be thanked for their thoroughness and congratulated for their work, which should be useful for many real‐world applications of absolute risk.\"\u003cbr\u003e\u003cem\u003e~Biometrics\u003c\/em\u003e\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eIntroduction. Definitions and Basic Concepts for Survival Data in a Cohort without Covariates. Developing Absolute Risk Models from Cohort Data with Covariates. Estimating Absolute Risk from Case-Cohort and Nested Case-Control Data. Estimating Absolute Risk from Population-Based Case-Control and Registry Data. Evaluation of Adequacy of Model. Comparing Two Models. Special Topic: Disease Prognosis. Special Topic: Family-Based Designs \u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Taylor \u0026 Francis Inc","offers":[{"title":"Default Title","offer_id":50578040389975,"sku":"9781466561656","price":65.54,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781466561656.jpg?v=1746097641","url":"https:\/\/bookcurl.com\/products\/absolute-risk-9781466561656","provider":"Book Curl","version":"1.0","type":"link"}