Optimization of two-stage genetic designs where data are combined using an accurate and efficient approximation for Pearson's statistic.

Abstract excerpt

There is an increasing interest in the use of two-stage case-control studies to reduce genotyping costs in the search for genes underlying common disorders. Instead of analyzing the data from the second stage separately, a more powerful test can be performed by combining the data from both stages. However, standard tests cannot be used because only the markers that are significant in the first stage are selected...

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