An Extended Mixture Distribution Survival Tree for Patient Pathway Prognostication

DOI10.1080/03610926.2012.725262zbMath1462.62636OpenAlexW2153789308WikidataQ60570241 ScholiaQ60570241MaRDI QIDQ2862297

Lalit Garg, Sally McClean, Brian Meenan, Maria Barton, Ken Fullerton

Publication date: 14 November 2013

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2012.725262

zbMATH Keywords

clusteringstochastic modellingphase-type distributionssurvival treeGaussian mixture distributionsprognostication

Mathematics Subject Classification ID

Probability distributions: general theory (60E05) Survival analysis and censored data (62N99)

Related Items (2)

Laws of large numbers for non-homogeneous Markov systems with arbitrary transition probability matrices ⋮ Discrete conditional phase-type models utilising classification trees: application to modelling health service capacities

Cites Work

• Identification of prognostic factors with multivariate survival data
• Estimating the dimension of a model
• Model-Based Gaussian and Non-Gaussian Clustering
• Model-Based Clustering, Discriminant Analysis, and Density Estimation
• Modelling nationwide hospital length of stay: opening the black box
• A new look at the statistical model identification

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