Optimization of Two‐Stage Genetic Designs Where Data Are Combined Using an Accurate and Efficient Approximation for Pearson's Statistic

DOI10.1111/j.1541-0420.2006.00583.xzbMath1114.62115OpenAlexW1970681170WikidataQ31083723 ScholiaQ31083723MaRDI QIDQ5295373

Edwin J. C. G. van den Oord, József Bukszár

Publication date: 27 July 2007

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2006.00583.x

zbMATH Keywords

two-stage designcombining dataLD-studieslinkage disequilibrium study

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Genetics and epigenetics (92D10) Contingency tables (62H17)

Related Items (1)

Optimal multistage designs—a general framework for efficient genome-wide association studies

Uses Software

• lga972

Cites Work

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• Distribution of a sum of weighted noncentral chi-square variables
• The positive false discovery rate: A Bayesian interpretation and the \(q\)-value
• The control of the false discovery rate in multiple testing under dependency.
• Controlling the number of false discoveries: application to high-dimensional genomic data
• Estimation of False Discovery Rates in Multiple Testing: Application to Gene Microarray Data
• Two-Stage Designs for Gene-Disease Association Studies with Sample Size Constraints
• From Genotypes to Genes: Doubling the Sample Size
• A Direct Approach to False Discovery Rates
• Some Methods for Strengthening the Common χ 2 Tests

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