Selective Imputation of Covariates in High Dimensional Censored Data

DOI10.1080/10618600.2022.2035233OpenAlexW4214823083MaRDI QIDQ5057278

Oleg Sysoev, Caroline Svahn

Publication date: 16 December 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10618600.2022.2035233

zbMATH Keywords

nonparametric modelwireless networksrandom forestcensored covariates

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Inference in generalized linear regression models with a censored covariate
• A Bayesian approach for generalized linear models with explanatory biomarker measurement variables subject to detection limit: an application to acute lung injury
• Random Regression Models for Human Immunodeficiency Virus Ribonucleic Acid Data Subject to Left Censoring and Informative Drop-Outs
• Mixed Effects Models with Censored Data with Application to HIV RNA Levels
• Nearest neighbor pattern classification
• Random forests

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