spectral_connectivity.statistics.Benjamini_Hochberg_procedure

Benjamini_Hochberg_procedure(p_values, alpha=0.05)

Corrects for multiple comparisons and returns the significant p-values by controlling the false discovery rate at level alpha using the Benjamani-Hochberg procedure.

Parameters:

• p_values (array_like) –

• alpha (float, optional) – The expected proportion of false positive tests.

Returns:

is_significant – A boolean array the same shape as p_values indicating whether the null hypothesis has been rejected (True) or failed to reject (False).

Return type:

boolean nd-array