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Showing 1 to 2 of 2 for “"Bivariate survival data"”.
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Semi-Parametric Likelihood Functions for Bivariate Survival Data
… applications, characterization of multivariate survival distributions is still a growing area of research. The aim of this thesis is to investigate a joint probability distribution that can be derived for modeling nonnegative related random variables. We restrict the marginals to a specified …
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Bayesian variable selection in high dimensional censored regression models
… areas where high-dimensional gene expression data are present. Various approaches have been developed for associating patients' data with patients' survival times, however, not many can deal with high-dimensional data while being able to handle censoring. We focus on developing scalable …