Combining quantitative trait loci analyses and microarray data: an empirical likelihood approach

DOI10.1016/j.csda.2008.02.023zbMath1453.62236OpenAlexW2160601563MaRDI QIDQ961325

B. E. Eshmatov

Publication date: 30 March 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2008.02.023

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items (2)

Empty set problem of maximum empirical likelihood methods ⋮ Editorial: Statistical genetics \& statistical genomics: where biology, epistemology, statistics, and computation collide

Cites Work

• Empirical likelihood ratio confidence regions
• Empirical likelihood and general estimating equations
• Empirical likelihood ratio confidence intervals for a single functional
• Inference using surrogate outcome data and a validation sample
• Genetic Mapping of Quantitative Trait Loci for Traits with Ordinal Distributions
• A note on a partial empirical likelihood
• Information Recovery in a Study With Surrogate Endpoints
• On empirical likelihood for a semiparametric mixture model
• Distributions Generated by Perturbation of Symmetry with Emphasis on a Multivariate Skewt-Distribution
• A Unified Semiparametric Framework for Quantitative Trait Loci Analyses, With Application to Spike Phenotypes
• Statistical significance for genomewide studies
• Identifying Genes Associated with a Quantitative Trait or Quantitative Trait Locus via Selective Transcriptional Profiling

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