A genetic association test through combining two independent tests

Comparison of Several Tests for Combining Several Independent Tests

Is the weighted z-test the best method for combining probabilities from independent tests?

Through simulation, Whitlock showed that when all the alternatives have the same effect size, the weighted z-test is superior to both unweighted z-test and Fisher's method when combining P-values from independent studies. In this paper, we show that under the same situation, the generalized Fisher method due to Lancaster outperforms the weighted z-test.

Combining Two Nonparametric Tests Of Location

Evaluating methods for combining rare variant data in pathway-based tests of genetic association

Analyzing sets of genes in genome-wide association studies is a relatively new approach that aims to capitalize on biological knowledge about the interactions of genes in biological pathways. This approach, called pathway analysis or gene set analysis, has not yet been applied to the analysis of rare variants. Applying pathway analysis to rare variants offers two competing approaches. In the fi...

Combining Independent Tests of Conditional Shifted Exponential Distribution