added explanation, as to where the results are stored

ehrapy/tools/_sa.py

@@ -387,6 +387,7 @@ def cox_ph(
 
     The Cox proportional hazards model (CoxPH) examines the relationship between the survival time of subjects and one or more predictor variables.
     It models the hazard rate as a product of a baseline hazard function and an exponential function of the predictors, assuming proportional hazards over time.
+    The results will be stored in the uns slot of the AnnData object under the key 'cox_ph' unless specified otherwise in the uns_key parameter.
 
     See https://lifelines.readthedocs.io/en/latest/fitters/regression/CoxPHFitter.html
 
@@ -486,6 +487,8 @@ def weibull_aft(
     where the underlying assumption is that the logarithm of survival time follows a Weibull distribution.
     It models the survival time as an exponential function of the predictors, assuming a specific shape parameter
     for the distribution and allowing for accelerated or decelerated failure times based on the covariates.
+    The results will be stored in the uns slot of the AnnData object under the key 'cox_ph' unless specified otherwise in the uns_key parameter.
+
     See https://lifelines.readthedocs.io/en/latest/fitters/regression/WeibullAFTFitter.html
 
     Args:
@@ -582,6 +585,8 @@ def log_logistic_aft(
     This model operates under the assumption that the logarithm of survival time adheres to a log-logistic distribution, offering a flexible framework for understanding the impact of covariates on survival times.
     By modeling survival time as a function of predictors, the Log-Logistic AFT model enables researchers to explore
     how specific factors influence the acceleration or deceleration of failure times, providing valuable insights into the underlying mechanisms driving event occurrence.
+    The results will be stored in the uns slot of the AnnData object under the key 'cox_ph' unless specified otherwise in the uns_key parameter.
+
     See https://lifelines.readthedocs.io/en/latest/fitters/regression/LogLogisticAFTFitter.html
 
     Args: