The following pages link to (Q4780490):
Displaying 21 items.
- Semiparametric model for recurrent event data with excess zeros and informative censoring (Q643406) (← links)
- Applying competing risks regression models: an overview (Q746407) (← links)
- Calibrated predictions for multivariate competing risks models (Q746617) (← links)
- Flexible competing risks regression modeling and goodness-of-fit (Q841029) (← links)
- On pseudo-values for regression analysis in competing risks models (Q841059) (← links)
- Analysis of hybrid life-tests in presence of competing risks (Q870509) (← links)
- Analysis of a semiparametric mixture model for competing risks (Q907102) (← links)
- Semiparametric modeling of medical cost data containing zeros (Q1017818) (← links)
- A stopping criterion for a dynamic competing risks model (Q1594525) (← links)
- Parametric modeling for survival with competing risks and masked failure causes (Q1812101) (← links)
- Book review of: J. Beyersmann et al., Competing risks and multistate models with R (Q2802828) (← links)
- Maximum likelihood estimation of semiparametric mixture component models for competing risks data (Q2927610) (← links)
- Competing risks for reliability analysis using Cox's model (Q3055846) (← links)
- An Empirical Comparison of Variable Selection Methods in Competing Risks Model (Q4561896) (← links)
- A DYNAMIC COMPETING RISKS MODEL (Q4955511) (← links)
- Modelling and analysis of recall-based competing risks data (Q5036653) (← links)
- Bayesian Semiparametric Estimation of Cancer-Specific Age-at-Onset Penetrance With Application to Li-Fraumeni Syndrome (Q5231482) (← links)
- (Q5323620) (← links)
- A Semiparametric Mixture Model for Analyzing Clustered Competing Risks Data (Q5717154) (← links)
- Semiparametric analysis of mixture regression models with competing risks data (Q5963033) (← links)
- Mixture cure model methodology in survival analysis: some recent results for the one-sample case (Q6500004) (← links)
