A network-constrain Weibull AFT model for biomarkers discovery

arXiv:2402.18242v1 Announce Type: new
Abstract: We propose AFTNet, a novel network-constraint survival analysis method based on the Weibull accelerated failure time (AFT) model solved by a penalized likelihood approach for variable selection and estimation. When using the log-linear representation, the inference problem becomes a structured sparse regression problem for which we explicitly incorporate the correlation patterns among predictors using a double penalty that promotes both sparsity and grouping effect. Moreover, we establish the theoretical consistency for the AFTNet estimator and …

abstract analysis arxiv discovery failure inference likelihood linear math.st network novel regression representation stat.me stat.ml stat.th survival type