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Large sample results for tiny significance levels

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If you have a question about this talk, please contact Dr Jack Bowden .

Analyses of high-throughput data require extreme levels of significance, much further “out in the tails” of reference distributions than usual. Motivated by work in Genome-Wide Association Studies (GWAS), this talk describes why some standard approaches fail to be accurate enough, out in the tails, and the practical problems this causes. Novel but straightforward methods with better accuracy will also be described.

This talk is part of the MRC Biostatistics Unit Seminars series.

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Webinar & FW11, Computer Laboratory, William Gates Building. Average on weekdays: 9185.54783748 kWh Lecture Theatre 3 (Cambridge Judge Business School)

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