下面以SAS软件,介绍如何分析competing risk。 例子:分析肥胖对于某人群心血管疾病死亡或非心血管疾病死亡的影响。 随访时间从基线开始,到心血管疾病死亡(status=1),或非心血管疾病死亡(status=2), 或研究结束或失访(status=0)。 常规的COX regression model: proc phreg data=dataset; class BMI; model Survival_...
Competing-Risks Regression Models in Analysis of Biomarkers as Predictors of High-risk Human Papillomavirus (HPV) Infection Outcomes and Incident CIN in the LAMS Cohort[J] . Stina Syrj?nen,Adhemar Longhato-Filho,Luis O. Sarian,Paulo Naud,Sophie Derchain,Cecilia Rottelli-Martins,Silvio Tatti,...
In the multivariate model, only p300 was an independent predictor of CIN3 (odds ratio=2.63; 95% confidence interval, 1.05-6.61; P=0.039). In univariate competing-risks regression, lipocalin predicted permanent HR-HPV-negative status, but in the multivariate model, IL-10 emerged as a ...
只有在interesting event和competing risk event相互独立的情况下,用COX分析生存数据才能解释 但多数情况下interesting event和competing risk event并不相互独立 (这也是为什么要用fine-gray model的原因) competing risk event对样本量的影响 marginal hazards of competing risk event 上升 probability of the event of i...
In the analysis of competing risks data, cumulative incidence function is a useful summary of the overall crude risk for a failure type of interest. Mixtur... Wenbin,LuLimin,Peng - 《Lifetime Data Analysis》 被引量: 16发表: 2008年 Regression analysis based on conditional likelihood approach un...
As mentioned in the previous section, competing- risks regression works by keeping subjects who experience competing events at risk so that they can be adequately counted as having no chance of failing. Doing so requires a form of sample weighting that invalidates the usual model-based standard ...
et al. Incidence of mother-to-child transmission of HIV and predictors of positivity among HIV exposed infants in South Gondar public hospitals, Northwest Ethiopia: competing risk regression model. BMC Pediatr 24, 597 (2024). https://doi.org/10.1186/s12887-024-05061-x Download citation Received...
At the competing risks regression analysis, the risk for BT in wt and homozygous V617F patients increased with respect to Cox analysis, giving a sHR of 2.17 and 2.12, respectively. Correcting the results for the variables that could... G Barosi,Valentina Poletto,Margherita Massa,... - 《Bl...
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-term covariate effects, which can be of clinical interest. ...
Background: The cause-specific under-five mortality of Bangladesh has been studied by fitting cumulative incidence function (CIF) based Fine and Gray competing risk regression model (1999). For the purpose of analysis, Bangladesh Demographic and Health Survey (BDHS), 2011 data set was used. Metho...