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'.

_C_O_M_P_O_N_E_N_T_S:

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

     _c_o_e_f_f_i_c_i_e_n_t_s 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.

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

     _n_a_i_v_e._v_a_r 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.

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

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

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

     _w_a_l_d._t_e_s_t the Wald test of whether the final coefficients differ
          from the initial values.

     _i_t_e_r number of iterations used.

     _l_i_n_e_a_r._p_r_e_d_i_c_t_o_r_s the vector of linear predictors, one per
          subject.

     _r_e_s_i_d_u_a_l_s the martingale residuals.

     _m_e_a_n_s 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.

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

     _m_e_t_h_o_d the computation method used.

     _n_a._a_c_t_i_o_n 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'.

_S_e_e _A_l_s_o:

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

