bmt1               package:surv2sample               R Documentation

_B_o_n_e _M_a_r_r_o_w _T_r_a_n_s_p_l_a_n_t _D_a_t_a

_D_e_s_c_r_i_p_t_i_o_n:

     Data on the treatment of leukaemia by the bone marrow
     transplantation from two types of donors (HLA-identical sibling,
     HLA-matched unrelated), with two competing causes of failure
     (relapse, death in remission).

_U_s_a_g_e:

     data(bmt1)

_F_o_r_m_a_t:

     A data frame with 1607 observations on the following 3 variables:

     '_t_i_m_e' time from bone marrow transplantation, in months

     '_e_v_e_n_t' 0 = censoring, 1 = relapse (recurrence of the primary
          disease), 2 = death in remission (treatment related
          mortality)

     '_d_o_n_o_r' 1 = HLA-identical sibling donor, 2 = HLA-matched unrelated
          donor (HLA = human leukocyte antigen)

_S_o_u_r_c_e:

     Klein, J. P. and Andersen, P. K. (2005) Regression modeling of
     competing risks data based on pseudovalues of the cumulative
     incidence function. _Biometrics_ *61*, 223-229.

     The original dataset was obtained from the website of  Biometrics
     (<URL: http://biometrics.tibs.org/>), where it is available as
     supplementary material to Klein and Andersen's paper (direct link:
     <URL: http://biometrics.tibs.org/datasets/031209.txt>).  This is a
     subset (1607 observations) of the original dataset (1715), 108
     cases with mismatched unrelated donors were omitted.

_E_x_a_m_p_l_e_s:

     data(bmt1)

     ## plot aggregate cumulative incidence functions for each
     ## donor type
     with(bmt1, plot(cif(Survcomp(time, event), donor)))

