nodal                  package:boot                  R Documentation

_N_o_d_a_l _I_n_v_o_l_v_e_m_e_n_t _i_n _P_r_o_s_t_a_t_e _C_a_n_c_e_r

_D_e_s_c_r_i_p_t_i_o_n:

     The 'nodal' data frame has 53 rows and 7 columns.

     The treatment strategy for a patient diagnosed with cancer of the
     prostate depend highly on whether the cancer has spread to the
     surrounding lymph nodes. It is common to operate on the patient to
     get samples from the nodes which can then be analysed under a
     microscope but clearly it would be preferable if an accurate
     assessment of nodal involvement could be made without surgery.

     For a sample of 53 prostate cancer patients, a number of possible
     predictor variables were measured before surgery.  The patients
     then had surgery to  determine nodal involvement.  It was required
     to see if nodal involvement could  be accurately predicted from
     the predictor variables and which ones were most important.

_U_s_a_g_e:

     nodal

_F_o_r_m_a_t:

     This data frame contains the following columns:

     '_m' A column of ones.

     '_r' An indicator of nodal involvement. 

     '_a_g_e_d' The patients age dichotomized into less than 60 ('0') and
          60 or over '1'.

     '_s_t_a_g_e' A measurement of the size and position of the tumour
          observed by palpatation with the fingers via the rectum.  A
          value of '1' indicates a more serious case of the cancer.

     '_g_r_a_d_e' Another indicator of the seriousness of the cancer, this
          one is determined by a pathology reading of a biopsy taken by
          needle before surgery. A value of '1' indicates a more
          serious case of the cancer.

     '_x_r_a_y' A third measure of the seriousness of the cancer taken from
          an X-ray reading. A value of '1' indicates a more serious
          case of the cancer.

     '_a_c_i_d' The level of acid phosphatase in the blood serum.

_S_o_u_r_c_e:

     The data were obtained from

     Brown, B.W. (1980) Prediction analysis for binary data. In 
     _Biostatistics Casebook_. R.G. Miller, B. Efron, B.W. Brown and
     L.E. Moses (editors), 3-18. John Wiley.

_R_e_f_e_r_e_n_c_e_s:

     Davison, A.C. and Hinkley, D.V. (1997)  _Bootstrap Methods and
     Their Application_. Cambridge University Press.

