Score tests for association under response-dependent sampling designs for expensive covariates

DOI10.1093/biomet/asv038zbMath1390.62023OpenAlexW2253248902MaRDI QIDQ3459450

Lei Sun, Andriy Derkach, Jerald F. Lawless

Publication date: 8 January 2016

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/asv038

zbMATH Keywords

maximum likelihood estimationincomplete datageneralized linear modeltests of independencegenetic association studytwo-phase sample

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Generalized linear models (logistic models) (62J12) Sampling theory, sample surveys (62D05)

Related Items (8)

Empirical and conditional likelihoods for two‐phase studies ⋮ Score Tests With Incomplete Covariates and High-Dimensional Auxiliary Variables ⋮ A generalized robust allele‐based genetic association test ⋮ Improving estimation efficiency for two-phase, outcome-dependent sampling studies ⋮ Two-phase outcome-dependent studies for failure times and testing for effects of expensive covariates ⋮ Variable selection and prediction in biased samples with censored outcomes ⋮ Optimal Designs of Two-Phase Studies ⋮ Robust Score Tests With Missing Data in Genomics Studies

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