Ensemble survival trees for identifying subpopulations in personalized medicine
DOI10.1002/bimj.201500075zbMath1358.62089OpenAlexW2345129308WikidataQ39855066 ScholiaQ39855066MaRDI QIDQ2829466
Publication date: 28 October 2016
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.201500075
personalized medicineCox proportional hazards modelsurvival treesensemble methodsubgroup identificationmultivariate Cox model
Applications of statistics to biology and medical sciences; meta analysis (62P10) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Reliability and life testing (62N05)
Uses Software
Cites Work
- Bagging predictors
- Algorithm AS 136: A K-Means Clustering Algorithm
- Recursive partitioning and applications
- Stratification by stepwise regression, correspondence analysis and recursive partition: A comparison of three methods of analysis for survival data with covariates
- A review of survival trees
- Regression Trees for Censored Data
- Least squares quantization in PCM
This page was built for publication: Ensemble survival trees for identifying subpopulations in personalized medicine