class_docstr: This class holds the result of statistical tests with a nice printer wrapper to display the results.
  
  Note
  -----
  This class' API changed in version 0.16.0.
  
  Parameters
  ----------
  p_value: iterable or float
      the p-values of a statistical test(s)
  test_statistic: iterable or float
      the test statistics of a statistical test(s). Must be the same size as p-values if iterable.
  test_name: string
      the test that was used. lifelines should set this.
  name: iterable or string
      if this class holds multiple results (ex: from a pairwise comparison), this can hold the names. Must be the same size as p-values if iterable.
  kwargs:
      additional information to attach to the object and display in ``print_summary()``.
class_docstr_tok: ["This","class","holds","the","result","of","statistical","tests","with","a","nice","printer","wrapper","to","display","the","results",".","Note","--","--","-","This","class","'","API","changed","in","version","0.16.0",".","Parameters","--","--","--","--","--","p_value",":","iterable","or","float","the","p-values","of","a","statistical","test","(","s",")","test_statistic",":","iterable","or","float","the","test","statistics","of","a","statistical","test","(","s",")",".","Must","be","the","same","size","as","p-values","if","iterable",".","test_name",":","string","the","test","that","was","used",".","lifelines","should","set","this",".","name",":","iterable","or","string","if","this","class","holds","multiple","results","(","ex",":","from","a","pairwise","comparison",")",",","this","can","hold","the","names",".","Must","be","the","same","size","as","p-values","if","iterable",".","kwargs",":","additional","information","to","attach","to","the","object","and","display","in","``","print_summary","(",")","``","."]
code: def __repr__(self):
      return self.to_ascii()
  
imports: from itertools import combinations
  import warnings
  import numpy
  from scipy import stats
  import pandas
  from lifelines import utils
  from lifelines.utils import group_survival_table_from_events, string_rjustify, format_p_value, format_floats, interpolate_at_times_and_return_pandas, _expected_value_of_survival_up_to_t, _expected_value_of_survival_squared_up_to_t
  from lifelines import KaplanMeierFitter
label_desc: Use image node_id 15 for calling the StatisticalResult obj's underlying member method code with example usage: obj.__repr__() and returns: self