nwtco                package:survival                R Documentation

_D_a_t_a _f_r_o_m _t_h_e _N_a_t_i_o_n_a_l _W_i_l_m'_s _T_u_m_o_r _S_t_u_d_y

_D_e_s_c_r_i_p_t_i_o_n:

     Missing data/masurement error example. Tumor histology predicts
     survival, but prediction is stronger with central lab histology
     than with the local institution determination.

_U_s_a_g_e:

     nwtco

_F_o_r_m_a_t:

     A data frame with 4028 observations on the following 9 variables.

     '_s_e_q_n_o' id number

     '_i_n_s_t_i_t' Histology from local institution

     '_h_i_s_t_o_l' Histology from central lab

     '_s_t_a_g_e' Disease stage

     '_s_t_u_d_y' study

     '_r_e_l' indicator for relapse

     '_e_d_r_e_l' time to relapse

     '_a_g_e' age in months

     '_i_n._s_u_b_c_o_h_o_r_t' Included in the subcohort for the example in the
          paper

_S_o_u_r_c_e:

     <URL: http://faculty.washington.edu/norm/software.html>

_R_e_f_e_r_e_n_c_e_s:

     NE Breslow and N Chatterjee (1999), Design and analysis of
     two-phase studies with binary outcome applied to Wilms tumour
     prognosis. _Applied Statistics_ *48*, 457-68.

_E_x_a_m_p_l_e_s:

     with(nwtco, table(instit,histol))
     anova(coxph(Surv(edrel,rel)~histol+instit,data=nwtco))
     anova(coxph(Surv(edrel,rel)~instit+histol,data=nwtco))

