Clustering method for censored and collinear survival data

DOI10.1007/s00180-020-01000-3zbMath1505.62252OpenAlexW3036444331MaRDI QIDQ1995819

Irene L. Hudson, Lucy Leigh, Silvia Liverani, Julie E. Byles

Publication date: 25 February 2021

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-020-01000-3

zbMATH Keywords

clusteringBayesian nonparametricssleep data

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (3)

Quantifying the uncertainty of partitions for infinite mixture models ⋮ Multiobjective semisupervised learning with a right‐censored endpoint adapted to the multiple imputation framework ⋮ PReMiuM

Uses Software

• R

Cites Work

• Unnamed Item
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• Bayesian Semiparametric Joint Models for Functional Predictors
• Bayesian Inference on Changes in Response Densities Over Predictor Clusters

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