GBSG                   package:mfp                   R Documentation

_G_e_r_m_a_n _B_r_e_a_s_t _C_a_n_c_e_r _S_t_u_d_y _G_r_o_u_p

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

     A data frame containing the observations from the GBSG study.

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

     data(GBSG)

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

     This data frame contains the observations of 686 women:

     _i_d patient id 1...686.

     _h_t_r_e_a_t hormonal therapy, a factor at two levels '0' (no) and '1'
          (yes).

     _a_g_e of the patients in years.

     _m_e_n_o_s_t_a_t menopausal status, a factor at two levels '1' 
          (premenopausal) and '2' (postmenopausal).

     _t_u_m_s_i_z_e tumor size (in mm).

     _t_u_m_g_r_a_d tumor grade, a ordered factor at levels '1 < 2 < 3'.

     _p_o_s_n_o_d_a_l number of positive nodes.

     _p_r_m progesterone receptor (in fmol).

     _e_s_m estrogen receptor (in fmol).

     _r_f_s_t recurrence free survival time (in days).

     _c_e_n_s censoring indicator (0- censored, 1- event).

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

     <URL: http://www.blackwellpublishers.com/rss/Volumes/A162p1.htm>

_R_e_f_e_r_e_n_c_e_s:

     M. Schumacher, G. Basert, H. Bojar,  K. Huebner, M. Olschewski, 
     W. Sauerbrei, C. Schmoor, C. Beyerle, R.L.A. Neumann and H.F.
     Rauschecker for the German Breast Cancer Study Group (1994).
     Randomized 2 times 2 trial evaluating hormonal treatment and the
     duration of chemotherapy in node-positive breast cancer patients.
     _Journal of Clinical Oncology_, *12*, 2086-2093.

     W. Sauerbrei and P. Royston (1999). Building multivariable
     prognostic and diagnostic models: transformation of the predictors
     by using  fractional polynomials. _Journal of the Royal Statistics
     Society Series A_, Volume *162*(1), 71-94.

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

         data(GBSG)
         mfp(Surv(rfst, cens) ~ fp(age, df = 2, select = 0.05)
                      + fp(prm, df = 4, select = 0.05), family = cox, data = GBSG)

