AWFisher

AWFisher implements the adaptively weighted Fisher's method for fast p-value computing, variability index calculation, and meta-pattern identification in meta-analysis.

Key Features:

• Fast P-value Computing: Provides efficient computation of p-values for the adaptively weighted Fisher's method.
• Variability Index: Includes calculation of a variability index as part of the method's output.
• Meta-pattern Detection: Identifies meta-patterns in the analyzed data.

Scientific Applications:

• Meta-analysis: Enables statistical meta-analysis by combining p-values across multiple studies or datasets using adaptively weighted Fisher's method.

Methodology:

The method implements adaptively weighted Fisher's method with fast p-value computation; specific computational steps are not detailed in the sources.