basehaz               package:survival               R Documentation

_C_o_m_p_u_t_e _t_h_e _b_a_s_e_l_i_n_e _s_u_r_v_i_v_a_l _c_u_r_v_e _f_o_r _a _C_o_x _m_o_d_e_l

_D_e_s_c_r_i_p_t_i_o_n:

     Compute the baseline survival curve for a Cox model.

_U_s_a_g_e:

     basehaz(fit, centered = TRUE)

_A_r_g_u_m_e_n_t_s:

     fit: The result of a 'coxph' fit.

centered: If TRUE, the resultant curve is for a hypothetical subject
          whose covariate values are the corresponding means from the
          original data, otherwise for a hypothetical subject with a
          mean vector of zero.

_D_e_t_a_i_l_s:

     This function exists primarily because users will look for the
     phrase 'baseline hazard' (often SAS converts looking for familiar
     keywords.) The primary function for creating a survival curve is
     'survfit', which this calls.  See that manual page for more
     options, including confidence limits and the ability to use other
     covariate vectors.  The result of 'survfit' also has print, plot
     and summary methods that make it far more useful.

_V_a_l_u_e:

     a data frame with components 

    time: The sorted vector of unique time points (those at which an
          event occurred

  hazard: The baseline hazard function

  strata: If 'fit' was a stratified Cox model, the strata. There will
          be one survival curve per strata.

_S_e_e _A_l_s_o:

     'survfit'