ArticleBiometrical journal. Biometrische Zeitschrift2010
Efficient evaluation of ranking procedures when the number of units is large, with application to SNP identification.
Article in Biometrical journal. Biometrische Zeitschrift, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Rapid testing of SNPs and gene-environment interactions in case-parent trio data based on exact analytic parameter estimation.Biometrics · 2012Article
- Candidate pathway based analysis for cleft lip with or without cleft palate.Statistical applications in genetics and molecular biology · 2012Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Simulation-based assessment is a popular and frequently necessary approach for evaluating statistical procedures. Sometimes overlooked is the ability to take advantage of underlying mathematical relations and we focus on this aspect. We show how to take advantage of large-sample theory when conducting a simulation using the analysis of genomic data as a motivating example. The approach uses convergence results to provide an approximation to smaller-sample results, results that are available only by simulation. We consider evaluating and comparing various ranking-based methods for identifying the most highly associated SNPs in a genome-wide association study, derive integral equation representations of the pre-posterior distribution of percentiles produced by three ranking methods, and provide examples comparing performance. These results are of interest in their own right and set the framework for a more extensive set of comparisons.
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Registered trials
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