Personalized treatment selection via product partition models with covariates
Author:
Affiliation:
1. Department of Statistics, Computer Science and Applications, University of Florence , Florence , Italy , 50134
2. Department of Economics, University of Bergamo , Bergamo , Italy , 24121
Abstract
Funder
Ministero dell'Università e della Ricerca
Dipartimenti Eccellenti
Fondo di Beneficienza di Intesa San Paolo
Publisher
Oxford University Press (OUP)
Link
https://academic.oup.com/biometrics/article-pdf/80/1/ujad003/56675516/ujad003.pdf
Reference40 articles.
1. A blocked Gibbs sampler for ngg-mixture models via a priori truncation;Argiento;Statistics and Computing,2016
2. Clustering blood donors via mixtures of product partition models with covariates;Argiento,2022
3. A comparative review of variable selection techniques for covariate dependent Dirichlet process mixture models;Barcella;Canadian Journal of Statistics,2017
4. Tumour heterogeneity in the clinic;Bedard;Nature,2013
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