class_docstr: Class to contain results of fitting a Cox proportional hazards
  survival model.
  
  PHregResults inherits from statsmodels.LikelihoodModelResults
  
  Parameters
  ----------
  See statsmodels.LikelihoodModelResults
  
  Attributes
  ----------
  model : class instance
      PHreg model instance that called fit.
  normalized_cov_params : ndarray
      The sampling covariance matrix of the estimates
  params : ndarray
      The coefficients of the fitted model.  Each coefficient is the
      log hazard ratio corresponding to a 1 unit difference in a
      single covariate while holding the other covariates fixed.
  bse : ndarray
      The standard errors of the fitted parameters.
  
  See Also
  --------
  statsmodels.LikelihoodModelResults
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docstr: Returns a scipy distribution object corresponding to the
  distribution of uncensored endog (duration) values for each
  case.
  
  Returns
  -------
  A list of objects of type scipy.stats.distributions.rv_discrete
  
  Notes
  -----
  The distributions are obtained from a simple discrete estimate
  of the survivor function that puts all mass on the observed
  failure times within a stratum.
docstr_tok: ["Returns","a","scipy","distribution","object","corresponding","to","the","distribution","of","uncensored","endog","(","duration",")","values","for","each","case",".","Returns","--","--","--","-","A","list","of","objects","of","type","scipy.stats.distributions.rv_discrete","Notes","--","--","-","The","distributions","are","obtained","from","a","simple","discrete","estimate","of","the","survivor","function","that","puts","all","mass","on","the","observed","failure","times","within","a","stratum","."]
code: def get_distribution(self):
      """
      Returns a scipy distribution object corresponding to the
      distribution of uncensored endog (duration) values for each
      case.
  
      Returns
      -------
      A list of objects of type scipy.stats.distributions.rv_discrete
  
      Notes
      -----
      The distributions are obtained from a simple discrete estimate
      of the survivor function that puts all mass on the observed
      failure times within a stratum.
      """
  
      return self.model.get_distribution(self.params)
  
imports: import numpy
  from statsmodels.base import model
  import statsmodels.base.model
  from statsmodels.tools.decorators import cache_readonly
  from statsmodels.compat.pandas import Appender
label_desc: Use image node_id 4 for calling the PHRegResults obj's underlying member method code with example usage: obj.get_distribution() and returns: self