Titlebook: Statistical Inference on Residual Life; Jong-Hyeon Jeong Book 2014 Springer Science+Business Media New York 2014 Biostatistics.Clinical Tr

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Quantile Residual Life,ual life function, which is robust under any skewed distribution. We first review asymptotic theories of the quantile function and quantile residual life function, and derive the quantile residual life process as a Brownian bridge. We also discuss parametric and nonparametric inferences on the quant

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Quantile Residual Life Under Competing Risks,s other types of events from being observed. For example, in cancer research, investigators might want to know a drug effect that would only affect a disease-specific endpoint, say time-to-death due to breast cancer. In this case, any death due to other causes that occurs first would preclude a brea

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Inference on Mean Residual Life-Overview,e 25\%". Common summary measures for the remaining lifetimes have been the mean and median residual lifetimes. This chapter presents a brief overview of statistical inference on the mean residual life.

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Jong-Hyeon Jeongdes supplementary material: .Edited by Dr. Marc Neff, .Passing the General Surgery Oral Board Exam, Second Edition. helps candidates prepare for the General Surgery Oral Board Exam in a different way than other review books. In addition to covering concepts frequently addressed on the test, the revi