coxph.object            package:survival            R Documentation

_P_r_o_p_o_r_t_i_o_n_a_l _H_a_z_a_r_d_s _R_e_g_r_e_s_s_i_o_n _O_b_j_e_c_t

_D_e_s_c_r_i_p_t_i_o_n:

     This class of objects is returned by the 'coxph' class of
     functions  to represent a fitted proportional hazards model. 
     Objects of this class have methods for the functions 'print', 
     'summary', 'residuals', 'predict' and 'survfit'.

_A_r_g_u_m_e_n_t_s:

coefficients: the coefficients of the linear predictor, which multiply
          the columns of  the  model matrix.  If the model is
          over-determined there will be missing  values in the vector
          corresponding to the redundant columns in the model  matrix.  

     var: the variance matrix of the coefficients.  Rows and columns
          corresponding to  any missing coefficients are set to zero.  

naive.var: this component will be present only if the 'robust' option
          was true.  If so,  the 'var' component will contain the
          robust estimate of variance, and this  component will contain
          the ordinary estimate.  

  loglik: a vector of length 2 containing the log-likelihood with the
          initial values and  with the final values of the
          coefficients.  

   score: value of the efficient score test, at the initial value of
          the coefficients.  

  rscore: the robust log-rank statistic, if a robust variance was
          requested.  

wald.test: the Wald test of whether the final coefficients differ from
          the initial values.  

    iter: number of iterations used.  

linear.predictors: the vector of linear predictors, one per subject.  

residuals: the martingale residuals.  

   means: vector of column means of the X matrix.  Subsequent survival
          curves are  adjusted to this value.  

       n: the number of observations used in the fit.  

 weights: the vector of case weights, if one was used.  

  method: the computation method used.  

na.action: the na.action attribute, if any, that was returned by the
          'na.action'  routine. 

          The object will also contain the following, for documentation
          see the 'lm'  object: 'terms', 'assign', 'formula', 'call',
          and, optionally, 'x', 'y',  and/or 'frame'.  

_C_o_m_p_o_n_e_n_t_s:

     The following components must be included in a legitimate 'coxph' 
     object.

_S_e_e _A_l_s_o:

     'coxph',  'coxph.detail',  'cox.zph',  'residuals.coxph', 
     'survfit',  'survreg'.

