nimare.meta.esma.stouffers

stouffers(z_maps, inference='ffx', null='theoretical', n_iters=None, two_sided=True)[source]

Run a Stouffer’s image-based meta-analysis on z-statistic maps.

Parameters:
  • z_maps ((n_contrasts, n_voxels) numpy.ndarray) – A 2D array of z-statistic maps in the same space, after masking.
  • inference ({'ffx', 'rfx'}, optional) – Whether to use fixed-effects inference (default) or random-effects inference.
  • null ({'theoretical', 'empirical'}, optional) – Whether to use a theoretical null T distribution or an empirically- derived null distribution determined via sign flipping. Empirical null is only possible if inference = 'rfx'.
  • n_iters (int or None, optional) – The number of iterations to run in estimating the null distribution. Only used if inference = 'rfx' and null = 'empirical'.
  • two_sided (bool, optional) – Whether to do a two- or one-sided test. Default is True.
Returns:

result – Dictionary containing maps for test statistics, p-values, and negative log(p) values.
Return type:

dict