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The need to understand, interpret and analyse competing risk data is key to many areas of science, particularly medical research. There is a real need for a book that presents an overview of methodology used in the interpretation and analysis of competing risks, with a focus on practical applications to medical problems, and incorporating modern techniques. This book fills that need by presenting the most up-to-date methodology, in a way that can be readily understood, and applied, by the practitioner.

Mathematical statistics --- Competing risks --- Competing risks.

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Competing risks. --- Estimation theory. --- Statistical hypothesis testing.

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The last book dedicated to this topic was published in 1978, and since then there have been many developments in survival analysis, Competing Risks, and in statistical methods in general. The subject is now drawing increasing interest from engineers and biologists. Written by an acknowledged expert, this book thoroughly examines the probability framework and statistical analysis of data of Competing Risks. With a dearth of modern treatments of the subject and the importance of its methods, Classical Competing Risks fills a long-standing gap in the literature with a carefully organized exposition filled with real data sets, numerous examples, and clear, readable prose.

Mathematical statistics --- Competing risks --- Failure time data analysis --- Temps entre défaillances, Analyse des --- 519.2 --- Analysis, Failure time data --- Data analysis, Failure time --- Failure analysis (Engineering) --- Survival analysis (Biometry) --- Risks, Competing --- Distribution (Probability theory) --- Estimation theory --- Random variables --- Competing risks. --- Failure time data analysis. --- Temps entre défaillances, Analyse des

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Mathematical statistics --- Failure time data analysis. --- Survival analysis (Biometry). --- Failure time data analysis --- Survival analysis (Biometry) --- 368.01 --- Analysis, Survival (Biometry) --- Survivorship analysis (Biometry) --- Analysis, Failure time data --- Data analysis, Failure time --- Biometry --- Failure analysis (Engineering) --- Competing risks

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Mathematical statistics --- Accelerated life testing --- -Failure time data analysis --- Reliability (Engineering) --- -Mathematical statistics --- Analysis, Failure time data --- Data analysis, Failure time --- Failure analysis (Engineering) --- Competing risks --- Survival analysis (Biometry) --- Accelerated testing --- Life testing, Accelerated --- Reliability testing --- Testing --- Statistical methods --- Failure time data analysis. --- Statistical methods. --- -Statistical methods --- Failure time data analysis