[PDF] Top 20 Contributions to competing risks regression

... Various other analytic strategies used widely in classical survival analysis, however, have not been adopted to competing risks setting. Notably, stratification is a standard approach to account for varying ... See full document

... Competing risks data are commonly seen in medical research particularly in survival analysis when subjects are at risk of failure from K different ...used regression model that accounts for the cure ... See full document

... (the competing event). These different causes of death are called competing risks (see Putter et ...the competing events are those which prevent the observation of main outcome or change the ... See full document

... the regression coefficients were obtained by an iterative quasi-Newton ...of regression coefficients and three different types of LTF ...the regression parameters are close to a nominal level of ... See full document

... Abstract—Competing risks occur frequently in the analysis of survival data. A competing risk is an event whose occurrence precludes the occurrence of the primary event of ...the competing ... See full document

... Assume that the survival experience of an individual is represented by (K, T, δ), where K and T are random variables representing the entry and failure times, respectively, and δ is a censoring indicator. Left truncation ... See full document

... binary regression analysis. In order to explore ii) we fit competing risk regression models, based on the Fine and Gray (1999)’s methodology, computing the sub-hazard ratio for the two ... See full document

... Additionally age (≥55 years) and gender (female) were identified as factors associated with a higher probability of first peritonitis occurrence, but not diabetes or previous renal replacement modality in the ... See full document

... Competing risks are commonly observed in time-to-event data, and there have recently been major methodologi- cal advances in regression analysis of such ...for competing risks data: ... See full document

... peting risks of noncompliance and nonpersistence were estimated using the SAS® macro ...Multiple regression models based on the competing risk cumu- lative incidence functions were constructed using ... See full document

... consideration of pre-transplant and post transplant survival. They also surveyed the literature of analyzing the same data. In addition, the same data was studied by Miller et al (1982) using four regression ... See full document

... Before discussing the results it is important to make a few notes about variations that were made as a result of numerous robustness checks. Ideally, I would have included in the analyses as many factors as possible that ... See full document

... a competing risks model each cause-specific hazard function uniquely corresponds to the hazard function of that potential failure time and vice versa, on each of several completed data sets, one can then ... See full document

... logistic regression model that includes ER-status as a covariate to fit the π model or the % model as the MLE does not ...logistic regression model for π using the subset of patients who died and were ... See full document

... tween the two correlated events. This assumption is util- ized to calculate the weight for bias correction in the es- timation of quantile regression parameters. Here we fo- cus on the case of discrete covariates ... See full document

... Competing risks analysis for cluster data is a special type of competing risk analysis, where there is a correlation between the time-to-event outcomes within cluster (Zhou et ...frailty-based ... See full document

... In this paper, we have adapted the stochastic processes of Aalen [1] [2] to the Nelson-Aalen and Kaplan-Meier [3] estimators in a context of competing risks. We have focused particularly on the probability ... See full document

... about risks for ESKD and clinical experience, we a priori identi fi ed puta- tive risk factors for ESKD after SOT, which were included as independent variables in univariable and multivariable analy- ... See full document

... mortality risks during pregnancy and immediately after ...reduce risks in this population are needed to decrease the overall rate of ...mortality risks after accounting for terminations of pregnancy ... See full document

... dependent competing risks model of human mortality is consid- ered, assuming that the dependence between lifetimes is modelled by a multivariate copula ...four competing risks, cancer, ... See full document