Regression modeling of competing risk using R: an in depth guide for clinicians. Bone Marrow Transplant. 2010; 45:1388-1395.Scrucca L, Santucci A, Aversa F (2010) Regression modeling of competing risk using R: an in depth guide for clinicians. Bone Marrow Transplant 45(9):1388-1395...
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_...
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...
Example 5.4.1 Full prepayment and default modelling via multinomial regression Let us consider an account-level database, where full prepayment and default are recorded. A competing risk model is estimated by means of the following steps: 1. Upload data, 2. Perform multinomial analysis, and 3....
Competing risk regression models for epidemiologic data Am J Epidemiol., 170 (2) (2009), pp. 244-256 CrossrefView in ScopusGoogle Scholar 5 Braun HJ, Perito ER, Dodge JL, Rhee S, Roberts JP. Nonstandard exception requests impact outcomes for pediatric liver transplant candidates Am J Transpl...
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. ...
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...
REGRESSIONTERMINATIONPREPAYMENTIFThe article examines novel machine learning techniques for survival analysis in a credit risk modelling context. Using a large dataset of US mortgages, we evaluate the adequacy of DeepHit, a deep learning-based competing risk model, and random survival forests. The ...
Model II in competing risk theory. Biometrics, 27, 462–465. Google Scholar Klein, J.P., and Moeschberger, M.L. (1984). Asymptotic bias of the product limit estimator under dependent competing risks. Indian J. of Productivity, Reliability and Quality Control, 9, 1–7. MathSciNet MATH...
Age was the most important factor for predicting high risk of LP-non-BCSD. The nomograms, which were based on significant factors identified by the competing risk regression model. A risk score system based on the competing risk nomogram was established to describe the relative risk of LP-BCSD...