The following pages link to cmprsk (Q23023):
Displaying 28 items.
- Hazards regression for freemium products and services: a competing risks approach (Q5106893) (← links)
- Inference for cumulative incidence on discrete failure times with competing risks (Q5106905) (← links)
- Bayesian approach for proportional hazards mixture cure model allowing non-curable competing risk (Q5107730) (← links)
- Hypotheses Tests of Strain-specific Vaccine Efficacy Adjusted for Covariate Effects (Q5123342) (← links)
- Expanded renal transplantation: a competing risk model approach (Q5130369) (← links)
- A 3-parameter Gompertz distribution for survival data with competing risks, with an application to breast cancer data (Q5138155) (← links)
- Joint analysis of longitudinal data and competing terminal events in the presence of dependent observation times with application to chronic kidney disease (Q5138228) (← links)
- Competing risks quantile regression at work: in-depth exploration of the role of public child support for the duration of maternity leave (Q5138521) (← links)
- Time-dependent ROC methodology to evaluate the predictive accuracy of semiparametric multi-state models in the presence of competing risks: An application to peritoneal dialysis programme (Q5142158) (← links)
- Flexible simulation of competing risks data following prespecified subdistribution hazards (Q5219512) (← links)
- Multiple imputation for competing risks regression with interval-censored data (Q5222471) (← links)
- Weighted NPMLE for the Subdistribution of a Competing Risk (Q5229909) (← links)
- Bayesian Semiparametric Estimation of Cancer-Specific Age-at-Onset Penetrance With Application to Li-Fraumeni Syndrome (Q5231482) (← links)
- A new mixture cure model under competing risks to score online consumer loans (Q5234356) (← links)
- Semiparametric Regression Analysis of Multiple Right- and Interval-Censored Events (Q5242471) (← links)
- An overview of techniques for linking high‐dimensional molecular data to time‐to‐event endpoints by risk prediction models (Q5391149) (← links)
- Dynamic Pseudo‐Observations: A Robust Approach to Dynamic Prediction in Competing Risks (Q5408028) (← links)
- A Regression Model for the Copula-Graphic Estimator (Q5413558) (← links)
- Assessing diagnostic accuracy improvement for survival or competing‐risk censored outcomes (Q5413641) (← links)
- Regression Modeling of Semicompeting Risks Data (Q5427403) (← links)
- A Proportional Hazards Cure Model for the Analysis of Time to Event with Frequently Unidentifiable Causes (Q5449926) (← links)
- Robust prediction of the cumulative incidence function under non‐proportional subdistribution hazards (Q5507350) (← links)
- Competing risks model for clustered data based on the subdistribution hazards with spatial random effects (Q5865413) (← links)
- On correlation rank screening for ultra-high dimensional competing risks data (Q5865416) (← links)
- Semiparametric estimation for accelerated failure time mixture cure model allowing non-curable competing risk (Q5880031) (← links)
- (Q5886016) (← links)
- Semiparametric analysis of mixture regression models with competing risks data (Q5963033) (← links)
- crrstep (Q5982781) (← links)
