Following on from the work of O'Quigley & Flandre (1994) and, more recently, O'Quigley & Xu (2000), we develop a measure, R2, of the predictive ability of a stratified proportional hazards regression model. The extension of this earlier work to the stratified case is relatively ...
Goodness-of-fit testing is addressed in the stratified proportional hazards model for survival data. A test statistic based on within-strata cumulative sums of martingale residuals over covariates is proposed and its asymptotic distribution is derived under the null hypothesis of model adequacy. A ...
The approach is applied to a model of age-specific risk of dementia as a function of sex and educational level from the data of a large cohort study. 展开 关键词: Kullback–Leibler information Likelihood cross-validation Model selection Proportional hazards model Smoothing Stratified hazards model ...
The stratified Cox proportional hazards model is introduced to incorporate covariates and involve non-proportional treatment effect of two groups into the analysis and then the confidence interval estimators for the difference in median survival times of two treatments in stratified Cox model are proposed...
The 'stratified Cox model' is a modification of the Cox proportional hazards (PH) model that allows for control by 'stratification' of a predictor that does not satisfy the PH assump…
Two-tailed interaction p-values tested for interaction between regimen (experimental vs. control) and the disease phenotypes in a Cox proportional hazards model. a Analysis of the rifapentine-moxifloxacin regimen demonstrates that the high-risk group, comprising 23% of the Study 31/A5349 population,...
The hazard ratio (HR) and the corresponding 100x (1-adjusted alpha)% confidence interval (CI) will be estimated in a stratified Cox proportional hazards model using randomized arm as a single covariate.问题补充:匿名 2013-05-23 12:21:38 正在翻译,请等待... 匿名 2013-05-23 12:23:18 ...
Sample size and power for a logrank test and Cox proportional hazards model with multiple groups and strata, or a quantitative covariate with multiple strata stratified analysisinteractionsI describe general expressions for the evaluation of sample size and power for the K group Mantel-logrank test ...
The log-rank test is the most widely used nonparametric method for testing treatment differences in survival between two treatment groups due to its efficiency under the proportional hazards model. Most previous work on the log-rank test has assumed that the samples from the two treatment groups ...
We used the Schoenfeld residual test to evaluate the Cox proportional hazards assumption, and no evidence of a violation of the assumption was observed. Four sets of models were used. Model 1 was unadjusted. Model 2 was adjusted for age, sex, and baseline BMI. Model 3 was adjusted for age...