The effects of nonignorable missing data on label-free mass spectrometry proteomics experiments

DOI10.1214/18-AOAS1144zbMath1411.62377WikidataQ59808090 ScholiaQ59808090MaRDI QIDQ1728635

Harsha P. Gunawardena, Bahjat F. Qaqish, Joseph G. Ibrahim, Xian Chen, Steven P. Gygi, Joao A. Paulo, Jonathon J. O'Brien

Publication date: 25 February 2019

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

Full work available at URL: https://projecteuclid.org/euclid.aoas/1542078037

zbMATH Keywords

imputationBayesian inferenceinterval coverageselection modelestimable contrastsdata dependent analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Applications of statistics to physics (62P35)

Related Items (4)

Estimation and inference in metabolomics with nonrandom missing data and latent factors ⋮ The effects of nonignorable missing data on label-free mass spectrometry proteomics experiments ⋮ On classification with nonignorable missing data ⋮ On the maximal deviation of kernel regression estimators with NMAR response variables

Uses Software

• sn
• impute
• DAnTE

Cites Work

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• Bi-cross-validation of the SVD and the nonnegative matrix factorization
• The effects of nonignorable missing data on label-free mass spectrometry proteomics experiments
• The Skew-Normal and Related Families

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