Bivariate survival analysis has wide applications. In the presence of covariates, most literature focuses on studying their effects on the marginal distributions. However covariates can also affect the association between the two variables. In this article we consider the latter issue by proposing a nonstandard local linear estimator for the concordance probability as a function of covariates. ...

Motivated by ultrahigh-dimensional biomarkers screening studies, we propose a model-free screening approach tailored to censored lifetime outcomes. Our proposal is built upon the introduction of a new measure, survival impact index (SII). By its design, SII sensibly captures the overall influence of a covariate on the outcome distribution, and can be estimated with familiar nonparametric proced...

Background and Aim: In the present study, the cerebral surface landmarks in human fresh autopsy specimens were investigated. Methods and Materials/Patients: Totally, 37 fresh adult autopsy human brain specimens from the Rasht Forensic Medicine Center were enrolled. Four specimens were excluded because of some traumatic injuries to cerebral cortex. Demographic information of all cases was obt...

The cumulative incidence function provides intuitive summary information about competing risks data. Via a mixture decomposition of this function, Chang and Wang (Statist. Sinca 19:391-408, 2009) study how covariates affect the cumulative incidence probability of a particular failure type at a chosen time point. Without specifying the corresponding failure time distribution, they proposed two e...

background: colorectal cancer is a common and lethal disease with various distribution of incidence in different part of the world and it is known as the third most common cause of cancer death in the world. since several studies in the world represented different survival rates for colorectal cancer in this study we aimed to determine the survival of a group of iranian patients and some relate...

The analysis of recurrent failure time data from longitudinal studies can be complicated by the presence of dependent censoring. There has been a substantive literature that has developed based on an artificial censoring device. We explore in this article the connection between this class of methods with truncated data structures. In addition, a new procedure is developed for estimation and inf...

By implementing algorithmic versions of Sapozhenko's graph container methods, we give new algorithms for approximating the number independent sets in bipartite graphs. Our first algorithm applies to d $$ -regular, graphs satisfying a weak expansion condition: when is constant, and Ω ( log 2 / ) \Omega \left({\log}^2d/d\right) -expander, obtain an FPTAS sets. Previously such result > 5 d>5 was k...