Abstract We consider high‐dimensional inference for potentially misspecified Cox proportional hazard models based on low‐dimensional results by Lin and Wei (1989). A desparsified Lasso estimator is proposed the log partial likelihood function shown to converge a pseudo‐true parameter vector. Interestingly, sparsity of true can be inferred from that above limiting parameter. Moreover, each compo...