Capturing heterogeneity of covariate effects in hidden subpopulations in the presence of censoring and large number of covariates

DOI10.1214/18-AOAS1198zbMath1418.62396OpenAlexW2940080409WikidataQ128060600 ScholiaQ128060600MaRDI QIDQ2415472

Masoud Asgharian, Shili Lin, Abbas Khalili, Farhad Shokoohi

Publication date: 22 May 2019

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.aoas/1554861656

zbMATH Keywords

right censoringovarian cancerpenalized regressionDNA methylationfinite mixture of AFT model

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Protein sequences, DNA sequences (92D20)

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