Mention the pscore.stats module in the docs.

monarch-initiative · Sep 4, 2024 · cda263f · cda263f
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diff --git a/docs/user-guide/stats.rst b/docs/user-guide/stats.rst
@@ -463,6 +463,12 @@ We will use :ref:`mann-whitney-u-test` as described above.
 >>> score_statistic = MannWhitneyStatistic()
 
 
+.. tip::
+
+   See :mod:`gpsea.analysis.pscore.stats` module for more statistical tests available
+   for using with phenotype scores.
+
+
 **Final analysis**
 
 We will put the final analysis together into :class:`~gpsea.analysis.pscore.PhenotypeScoreAnalysis`.

diff --git a/src/gpsea/analysis/pscore/stats/_stats.py b/src/gpsea/analysis/pscore/stats/_stats.py
@@ -49,8 +49,6 @@ class TTestStatistic(PhenotypeScoreStatistic):
     `TTestStatistic` is a wrapper around SciPy's
     :func:`~scipy.stats.ttest_ind` function to apply
     T test on 2 phenotype scores.
-
-    See :ref:`phenotype-score-stats` for an example usage.
     """
 
     def compute_pval(