code: def load_recur(**kwargs):
      """
      From ftp://ftp.wiley.com/public/sci_tech_med/survival/, first published in
      "Applied Survival Analysis: Regression Modeling of Time to Event Data, Second Edition"::
  
          ID          Subject Identification        1 - 400
          AGE         Age                           years
          TREAT       Treatment Assignment          0 = New
                                                    1 = Old
          TIME0       Day of Previous Episode       Days
          TIME1       Day of New Episode            Days
                        or censoring
          CENSOR      Indicator for Soreness        1 = Episode Occurred
                        Episode or Censoring            at TIME1
                                                    0 = Censored
          EVENT       Soreness Episode Number       0 to at most 4
  
          Size: (1296, 7)
          Example:
              ID,AGE,TREAT,TIME0,TIME1,CENSOR,EVENT
              1,43,0,9,56,1,3
              1,43,0,56,88,1,4
              1,43,0,0,6,1,1
              1,43,0,6,9,1,2
  
      """
      return _load_dataset("recur.csv", **kwargs)
  
imports: import pandas
  from importlib import resources
label_desc: Use image node_id 2 for calling a global function with example usage: load_recur() and returns: _load_dataset