nimare.meta.ibma.WeightedStouffers

class WeightedStouffers(two_sided=True, *args, **kwargs)

An image-based meta-analytic test using z-statistic images and sample sizes. Zs from bigger studies get bigger weights.

Parameters

two_sided (bool, optional) – Whether to do a two- or one-sided test. Default is True.

References

• Zaykin, D. V. (2011). Optimally weighted Z‐test is a powerful method for combining probabilities in meta‐analysis. Journal of evolutionary biology, 24(8), 1836-1841. https://doi.org/10.1111/j.1420-9101.2011.02297.x

fit(dataset)

Fit Estimator to Dataset.

Parameters

dataset (nimare.dataset.Dataset) – Dataset object to analyze.

Returns

nimare.results.MetaResult – Results of Estimator fitting.

Notes

The fit method is a light wrapper that runs input validation and preprocessing before fitting the actual model. Estimators’ individual “fitting” methods are implemented as _fit, although users should call fit.

get_params(deep=True)

Get parameters for this estimator.

Parameters

deep (boolean, optional) – If True, will return the parameters for this estimator and contained subobjects that are estimators.

Returns

params (mapping of string to any) – Parameter names mapped to their values.

classmethod load(filename, compressed=True)

Load a pickled class instance from file.

Parameters

• filename (str) – Name of file containing object.

• compressed (bool, optional) – If True, the file is assumed to be compressed and gzip will be used to load it. Otherwise, it will assume that the file is not compressed. Default = True.

Returns

obj (class object) – Loaded class object.

save(filename, compress=True)

Pickle the class instance to the provided file.

Parameters

• filename (str) – File to which object will be saved.

• compress (bool, optional) – If True, the file will be compressed with gzip. Otherwise, the uncompressed version will be saved. Default = True.

set_params(**params)

Set the parameters of this estimator.

The method works on simple estimators as well as on nested objects (such as pipelines). The latter have parameters of the form <component>__<parameter> so that it’s possible to update each component of a nested object.

Returns

self

Examples using nimare.meta.ibma.WeightedStouffers

Run image-based meta-analyses on 21 pain studies