nimare.correct.FWECorrector

class FWECorrector(method='bonferroni', **kwargs)

Bases: Corrector

Perform family-wise error rate correction on a meta-analysis.

Parameters

• method (str) – The FWE correction to use. Available internal methods are ‘bonferroni’. Additional methods may be implemented within the provided Estimator.

• **kwargs – Keyword arguments to be used by the FWE correction implementation.

Notes

This corrector supports a small number of internal FWE correction methods, but can also use special methods implemented within individual Estimators. To determine what methods are available for the Estimator you’re using, use inspect(). Estimators have special methods following the naming convention correct_[correction-type]_[method] (e.g., correct_fwe_montecarlo()).

Methods

correct_fwe_bonferroni(p)	Perform Bonferroni FWE correction.
inspect(result)	Identify valid 'method' values for a MetaResult object.
transform(result)	Apply the multiple comparisons correction method to a MetaResult object.

correct_fwe_bonferroni(p)

Perform Bonferroni FWE correction.

This correction is based on the one described in Bonferroni1 and Shaffer2.

Warning

Do not call this method directly. Call transform() with method='bonferroni' instead.

New in version 0.0.12.

Parameters

p (numpy.ndarray) – A 1D array of p values.

Returns

A 1D array of adjusted p values.

Return type

numpy.ndarray

References

1

Carlo Bonferroni. Teoria statistica delle classi e calcolo delle probabilita. Pubblicazioni del R Istituto Superiore di Scienze Economiche e Commericiali di Firenze, 8:3–62, 1936.

2

Juliet Popper Shaffer. Multiple hypothesis testing. Annual review of psychology, 46(1):561–584, 1995.

See also

nimare.stats.bonferroni

classmethod inspect(result)

Identify valid ‘method’ values for a MetaResult object.

In addition to returning a list of valid values, this method will also print out those values, divided by the value type (Estimator or generic).

Parameters

result (MetaResult) – Object for which valid correction methods (i.e., ‘method’ values) will be identified.

Returns

List of valid ‘method’ values for the Corrector+Estimator combination, including both non-specific methods and Estimator-specific ones.

Return type

list

transform(result)

Apply the multiple comparisons correction method to a MetaResult object.

Parameters

result (MetaResult) – MetaResult generated by an Estimator to be corrected for multiple comparisons.

Returns

result – MetaResult with new corrected maps added.

Return type

MetaResult

Examples using nimare.correct.FWECorrector

Coordinate-based meta-analysis algorithms

Image-based meta-analysis algorithms

The Corrector class

Meta-analytic coactivation modeling analysis

Two-sample ALE meta-analysis