Robust Score Tests With Missing Data in Genomics Studies

DOI10.1080/01621459.2018.1514304zbMath1428.62483OpenAlexW2888809732WikidataQ92532749 ScholiaQ92532749MaRDI QIDQ5208081

D. Y. Lin, Donglin Zeng, Kin-Yau Wong

Publication date: 15 January 2020

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc6951249

zbMATH Keywords

semiparametric modelsimputationsieve estimationintegrative analysisassociation testsmultiple genomics platforms

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) Protein sequences, DNA sequences (92D20)

Related Items (1)

Score Tests With Incomplete Covariates and High-Dimensional Auxiliary Variables

Uses Software

• MaCH
• MASS

Cites Work

• A practical guide to splines
• Two-phase outcome-dependent studies for failure times and testing for effects of expensive covariates
• Joint analysis of SNP and gene expression data in genetic association studies of complex diseases
• Score tests for association under response-dependent sampling designs for expensive covariates
• Logistic disease incidence models and case-control studies
• Unnamed Item

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