sphase                 package:coin                 R Documentation

_S-_p_h_a_s_e _F_r_a_c_t_i_o_n _o_f _T_u_m_o_r _C_e_l_l_s

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

     S-phase fraction of tumor cells in breast cancer patients.

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

     data(sphase)

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

     This data frame contains the following columns:

     _S_P_F S-phase fraction

     _R_F_S recurrence free survival

     _e_v_e_n_t censoring indicator: 'FALSE' means censored, 'TRUE' is an
          event.

_D_e_t_a_i_l_s:

     The data have been used to address the question whether a simple
     cutpoint  in S-phase fraction can be used to discriminate between
     patients with good and bad prognosis (for example in Hothorn &
     Lausen, 2003).

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

     J. Pfisterer, F. Kommoss, W. Sauerbrei, D. Menzel, M. Kiechle, E.
     Giese, M. Hilgarth and A. Pfleiderer (1995), DNA flow cytometry in
     node positive breast cancer: Prognostic value and correlation to
     morphological and clinical factors. _Analytical and Quantitative
     Cytology and Histology_ *7*(6), 406-412.

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

     Torsten Hothorn & Berthold Lausen (2003), On the Exact
     Distribution of Maximally Selected Rank Statistics. _Computational
     Statistics & Data Analysis_ *43*, 121-137.

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

     data(sphase, package = "coin")
     maxstat_test(Surv(RFS, event) ~ SPF, data = sphase)

     ### reproduce the test statistic reported in Hothorn & Lausen (2003)
     maxstat_test(Surv(RFS, event) ~ SPF, data = sphase, 
         ytrafo = function(data) trafo(data, surv_trafo = function(x) 
             logrank_trafo(x, ties.method = "HL")))

