Stratification by stepwise regression, correspondence analysis and recursive partition: A comparison of three methods of analysis for survival data with covariates
From MaRDI portal
Publication:1105968
DOI10.1016/0167-9473(86)90033-2zbMath0649.62106OpenAlexW2035597599WikidataQ126851677 ScholiaQ126851677MaRDI QIDQ1105968
Antonio Ciampi, Jean-Pierre Nakache, Johanne Thiffault, Bernard Asselain
Publication date: 1986
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0167-9473(86)90033-2
stratificationcovariatescorrespondence analysisstepwise regressionrecursive partitioncensored survival timesdefining prognostic groups
Related Items
The Impact of Churn on Client Value in Health Insurance, Evaluation Using a Random Forest Under Various Censoring Mechanisms, Tree-based multivariate regression and density estimation with right-censored data, Using weighted differences in hazards as effect sizes for survival data, \(L_1\) splitting rules in survival forests, Bayesian network data imputation with application to survival tree analysis, Rationale and applications of survival tree and survival ensemble methods, ROC‐guided survival trees and ensembles, A survival tree based on stabilized score tests for high-dimensional covariates, Dynamic risk prediction triggered by intermediate events using survival tree ensembles, A review of survival trees, Unnamed Item, Unnamed Item, A Partitioning Deletion/Substitution/Addition Algorithm for Creating Survival Risk Groups, Multivariate exponential survival trees and their application to tooth prognosis, Discrete-time survival trees and forests with time-varying covariates, Characterizing the Relationship Between HIV-1 Genotype and Phenotype: Prediction-Based Classification, Bayesian survival trees for clustered observations, applied to tooth prognosis, Cross‐validation and peeling strategies for survival bump hunting using recursive peeling methods, Random forest and variable importance rankings for correlated survival data, with applications to tooth loss, Discrete-time survival trees, Boomerang: A method for recursive reclassification, Ensemble survival trees for identifying subpopulations in personalized medicine, Multivariate Survival Trees: A Maximum Likelihood Approach Based on Frailty Models, Optimal survival trees
Uses Software
Cites Work
- A note on the generalized information criterion for choice of a model
- A Bayesian extension of the minimum AIC procedure of autoregressive model fitting
- A new look at the statistical model identification
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item