From 38f4efb73301723be69e8197e650fef6a7353496 Mon Sep 17 00:00:00 2001 From: Carl Buchholz <32228189+aGuyLearning@users.noreply.github.com> Date: Wed, 8 Jan 2025 18:03:20 +0100 Subject: [PATCH] corrected spelling --- ehrapy/tools/_sa.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/ehrapy/tools/_sa.py b/ehrapy/tools/_sa.py index c7904c08..fe33d1e7 100644 --- a/ehrapy/tools/_sa.py +++ b/ehrapy/tools/_sa.py @@ -487,7 +487,7 @@ 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. + The results will be stored in the uns slot of the AnnData object under the key 'weibull_aft' unless specified otherwise in the uns_key parameter. See https://lifelines.readthedocs.io/en/latest/fitters/regression/WeibullAFTFitter.html @@ -585,7 +585,7 @@ 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. + The results will be stored in the uns slot of the AnnData object under the key 'log_logistic_aft' unless specified otherwise in the uns_key parameter. See https://lifelines.readthedocs.io/en/latest/fitters/regression/LogLogisticAFTFitter.html