Hyun J. LimSpringer-VerlagStatistical Methods & ApplicationsZhang, Xu, Haci Akcin, and Hyun J. Lim., (2011). "Regression Analysis of Competing Risks Data via Semi-Parametric Additive Hazard Model." Statistical Methods & Applications 20(3):357-81.
This assumption, however, is violated in several applications. To address this issue and test the effect of covariates on multiple risks, we develop a new regression model allowing for nonconstant hazard ratios over time. The proposed model allows explicit specification of the short-term and long...
competing riskcovariateCox regression modelinformation matrixPartial likelihood.A generalized Cox regression model is studied for the covariance analysis of competing risks data subject to independent random censoring. The information of the maximum partial likelihood estimates is compared with that of maximum...
Since the selection of the form of the hazard function is rather arbitrary, [33] proposes the Cox model with the unspecified hazard function. In this case, it is not need to select an underlying distribution of the hazard function, while the purpose of the model remains valid. A duration ...
The authors report no conflict of interest. Cite this article as: O’Gorman N, Wright D, Syngelaki A, et al. Competing risks model in screening for preeclampsia by maternal factors and biomarkers at 11-13 weeks gestation. Am J Obstet Gynecol 2016;214:103.e1-12.View...
网络竞争风险模型;竞争性风险模型;帎竞争拟渺氭型
Statistical analysis for competing risks model from a Weibull distribution under progressively hybrid censoringdoi:10.1080/03610926.2014.985838Min WuYimin ShiYudong SunCommunications in Statistics - Theory and Methods
Risk predictors selection using the LASSO regression model. (A) Optimal predictor (lambda) selection in the LASSO model with tenfold cross-validation by minimum criteria. The area under the receiver operating characteristic curve was plotted versus log (lambda). Dotted vertical lines were drawn at ...
This is a “semi-competing risks” setting, as the occurrence of death before non-fatal events prevents the observation of the latter, but not vice versa. We developed a regression model for non-fatal event free survival in the presence of semi-competing risks based on pseudo-values. It is...
Proportional hazards regression is a modeling technique used to examine a times-to-event outcome, t, as a function of one or more exposure variables, xi. From: Translational Surgery, 2023 About this pageSet alert Also in subject areas: Mathematics Nursing and Health ProfessionsDiscover other topic...