The following pages link to A review of survival trees (Q1950331):
Displaying 29 items.
- Random survival forests (Q97881) (← links)
- Multiscale Bayesian Survival Analysis (Q128917) (← links)
- Application of random forest survival models to increase generalizability of decision trees: a case study in acute myocardial infarction (Q305987) (← links)
- Tree-based censored regression with applications in insurance (Q315407) (← links)
- Rationale and applications of survival tree and survival ensemble methods (Q888036) (← links)
- Recursive partitioning and applications (Q983265) (← links)
- \(L_1\) splitting rules in survival forests (Q1641909) (← links)
- Tree-based multivariate regression and density estimation with right-censored data (Q1876993) (← links)
- A review of survival trees (Q1950331) (← links)
- Optimal survival trees (Q2102354) (← links)
- Using weighted differences in hazards as effect sizes for survival data (Q2136029) (← links)
- Oblique random survival forests (Q2281237) (← links)
- Optimal cutpoint estimation with censored data (Q2320842) (← links)
- Flexible tree-structured regression models for discrete event times (Q2680302) (← links)
- Ensemble survival trees for identifying subpopulations in personalized medicine (Q2829466) (← links)
- Incorporating temporal features of repeatedly measured covariates into tree-structured survival models (Q2896324) (← links)
- Tree-structured analysis of survival data-search for latent diagnostic factors in a tumour study (Q4231238) (← links)
- Interval Censored Recursive Forests (Q5084438) (← links)
- Consistency of survival tree and forest models: splitting bias and correction (Q5089444) (← links)
- A Bayesian integrative approach for multi‐platform genomic data: A kidney cancer case study (Q5283319) (← links)
- The Impact of Churn on Client Value in Health Insurance, Evaluation Using a Random Forest Under Various Censoring Mechanisms (Q5881989) (← links)
- (Q5886023) (← links)
- ROC‐guided survival trees and ensembles (Q6047755) (← links)
- Hierarchical nonparametric survival modeling for demand forecasting with fragmented categorical covariates (Q6574624) (← links)
- Survival analysis using deep learning with medical imaging (Q6590265) (← links)
- Comparison of splitting methods on survival tree (Q6593507) (← links)
- Support vector machine for dynamic survival prediction with time-dependent covariates (Q6616360) (← links)
- Analysis of Large Heterogeneous Repairable System Reliability Data With Static System Attributes and Dynamic Sensor Measurement in Big Data Environment (Q6636542) (← links)
- Semiparametric copula models applied to the decomposition of claim amounts (Q6656766) (← links)
