In this study, we introduce deepVCCR, a deep learning-based method for varying coefficient censored regression.
DeepVCCR harnesses the power of deep learning by combining the fundamental principles of censored regression and varying coefficient regression models. Both censored regression and varying coefficient regression models are widely used statistical techniques with diverse applications. However, we propose leveraging deep learning techniques to address the challenges inherent in high-dimensional and complex data analysis. Our experiments confirm the effectiveness of deepVCCR in managing such data and delivering superior performance compared to existing methods.