hierinf

hierinf performs hierarchical inference for one or multiple studies and data sets based on high-dimensional multivariate generalised linear models.

Key Features:

• Hierarchical multiple testing correction: The method implements an efficient hierarchical multiple testing correction that controls the FWER.
• Parallel execution: The functions can easily be run in parallel.
• Multiple study support: The tool handles inference across one or multiple studies or data sets simultaneously.

Scientific Applications:

• Genome-wide association studies: Hierarchical inference for GWA studies finds significant groups or single SNPs when the signal is strong in a data-driven and automated procedure.

Methodology:

The method is based on high-dimensional multivariate generalised linear models with an efficient hierarchical multiple testing correction that controls the FWER.