Controlling the False Discovery Rate: A New Application to Account for Multiple and Dependent Tests in Local Statistics of Spatial Association

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On false discovery control under dependence (2008, unknown): “[16] for microarray data and by de Castro and Singer [6] for geographical data.”
A Review of Feature Selection Methods for Machine Learning-Based Disease Risk Prediction (2022, methodology): “FDR can be controlled by applying the Benjamini-Hochberg (B-H) procedure (Benjamini and Hochberg, 1995).”