Bayesian inference for Cox proportional hazard models with partial likelihoods, nonlinear covariate effects and correlated observations
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DOI: 10.1177/09622802221134172
Abstract: We propose a flexible and scalable approximate Bayesian inference methodology for the Cox Proportional Hazards model with partial likelihood. The model we consider includes nonlinear covariate effects and correlated survival times. The proposed method is… read more here.
Keywords: nonlinear covariate; effects correlated; cox proportional; covariate effects ... See more keywords