background: including multivariate survival data can be pointed competing risks data. there are various methods to analyze such data such as semi-parametric methods of cause-specific hazard function, and cumulative incidence function. the aim of this study was to deploy competing risks model to analyze the determinants of patients with liver cirrhosis. materials and methods: during the one-year...

b a c k g r o u n d & aim: in many studies, the survival of patients with chronic kidney disease who are treated with peritoneal dialysis technique has been considered, while this is possible in peritoneal dialysis  patients  to switch  to another  treatment.  to achieve  more  accurate  estimation  of patient survival is necessary to examine all events. the purpose of this study is to estimate...

background & aim: we aimed to describe a standard survival analysis, so that we can analyze some factors related to the time of occurrence of different types of reflux (unilateral-left, unilateralright, and bilateral) in children with antenatal hydronephrosis (anh) and to provide an approach taking competing risks into account. methods & materials: we used data of 193 children that was collecte...

We propose parametric regression analysis of cumulative incidence function with competing risks data. A simple form of Gompertz distribution is used for the improper baseline subdistribution of the event of interest. Maximum likelihood inferences on regression parameters and associated cumulative incidence function are developed for parametric models, including a flexible generalized odds rate ...

Background: It has been hypothesized that COVID-19 is less prevalent in regions with warm climates. Contradictory results led us to investigate the correlation between temperature and the cumulative COVID-19 incidence rate. Method: We obtained COVID data from CRONALAB, COVID-DASHBOARD, and MCMC databases of Fars province, linked data, and finalized daily COVID-19 cases. Daily data on the temp...

Abstract We consider estimation of the cumulative incidence function (CIF) in competing risks Cox model. study three methods. Methods 1 and 2 are existing methods while method 3 is a newly proposed method. Method constructed so that sum CIF’s across all event types at last observed time guaranteed, assuming no ties, to be equal 1. The performance examined via simulation, they illustrated on dat...