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: A list (corresponding to the strata) containing the baseline
  cumulative hazard function evaluated at the event points.
docstr_tok: ["A","list","(","corresponding","to","the","strata",")","containing","the","baseline","cumulative","hazard","function","evaluated","at","the","event","points","."]
code: def baseline_cumulative_hazard(self):
      """
      A list (corresponding to the strata) containing the baseline
      cumulative hazard function evaluated at the event points.
      """
      return self.model.baseline_cumulative_hazard(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 9 for calling the PHRegResults obj's underlying member method code with example usage: obj.baseline_cumulative_hazard() and returns: self