code: def test_pairwise_waltons_dataset_is_significantly_different():
      waltons_dataset = load_waltons()
      R = stats.pairwise_logrank_test(
          waltons_dataset["T"], waltons_dataset["group"]
      )
      assert R.summary.loc[("control", "miR-137")]["p"] < 0.05
  
imports: import numpy
  import pandas
  import numpy.testing
  import pytest
  from pandas.testing import assert_frame_equal
  from lifelines import statistics
  from lifelines import CoxPHFitter, KaplanMeierFitter, WeibullFitter
  from lifelines.exceptions import StatisticalWarning
  from lifelines.datasets import load_waltons, load_g3, load_lymphoma, load_dd, load_regression_dataset, load_leukemia
label_desc: Use image node_id 22 for calling a global function with example usage: test_pairwise_waltons_dataset_is_significantly_different() without return types