Dependent censoring occurs in many biomedical studies and poses considerable methodological challenges for survival analysis. We develop a new approach for analyzing dependently censored data by ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...
We give methods for the construction of designs for regression models, when the purpose of the investigation is the estimation of the conditional quantile function, and the estimation method is ...
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