Cox proportional hazards modelHeterogeneous cohortsHigh-dimensional dataSubgroup analysisWeighted regressionAn important task in clinical medicine is the construction of risk prediction models for specific subgroups of patients based on high-dimensional molecular measurements such as gene expression data. Major ...
For context, groups were also compared using an unadjusted Cox regression model and unweighted Kaplan–Meier curves to evaluate the impact and direction that the IPT weighting had on the naive unadjusted treatment effect. The primary survival analysis was complete case (excluding patients with missing...
We introduce directed goodness-of-fit tests for Cox-type regression models in survival analysis. "Directed" means that one may choose against which alternatives the tests are particularly powerful. The tests are based on sums of weighted martingale residuals and their asymptotic distributions. We deri...
(AP), average wind speed (AW) and average rainfall (AR)), child population density (CPD) and Per capita GDP (GDP) in Inner Mongolia Autonomous Region, China, and to detect the variation of influence in different seasons and counties, geographically weighted regression (GWR) model was ...
Censored quantile regression provides a useful alternative to the Cox proportional hazards model for analyzing survival data. It directly models the condit... Wey,Andrew,Wang,... - 《Biostatistics》 被引量: 17发表: 2014年 A note on self-weighted quantile estimation for infinite variance quantile ...
In this paper, we propose an empirical likelihood ratio method for the inference about average derivatives in semiparametric hazard regression models for c... X Lu,S Jie,Y Qi - 《Metrika》 被引量: 0发表: 2008年 A Spline‐Based Semiparametric Maximum Likelihood Estimation Method for the Cox M...
Risk of death and disability were assessed with Cox proportional hazard regression and binary logistic regression, respectively, with both models adjusted for age and sex variables. The model fit was assessed by the Akaike information criterion (AIC), and C-statistic or the area under the receiver...
Survival analysis methods such as nonparametric Kaplan–Meier (KM) method and semi-parametric Cox proportional hazards (CPH) regression models have been proposed to study time to recurrence and death following the diagnosis of EC [2,3,4,5,6]. For the semi-parametric CPH method, different ...
Geographically Weighted Regression Gamerman, D., Moreira, A. R. B., and Rue, H. (2002), “Space-Varying Regression Models,” Technical Report, Universidade Federal do Rio de Janeiro, Statistical Laboratory. Gelfand, A., Kim, H. J., Sirmans, C. F., and Banerjee, S. (2003), “Spat...
This paper addresses the modelling of missing covariate data with the logistic regression model. The aim of this paper is to evaluate the properties of an efficient score for logistic regression in a two-phase design. Simulation studies show that the efficient score is more efficient than two oth...