ocarcinoma          package:exactRankTests          R Documentation

_O_v_a_r_i_a_n _C_a_r_c_i_n_o_m_a

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

     Survival times of 35 women suffering ovarian carcinoma at stadium
     II and IIA.

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

     data(ocarcinoma)

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

     A data frame with 35 observations on the following 3 variables.

     _t_i_m_e time in days.

     _c_e_n_s censoring indicator: 0 censored, 1 event.

     _s_t_a_d_i_u_m a factor with levels 'II' and 'IIA'. 

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

     Data from Fleming et al. (1980, 1984), reanalysed in Schumacher
     and Schulgen (2002).

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

     Thomas R. Fleming, Judith R. O'Fallon, Peter C. O'Brien & David 
     P. Harrington (1980), Modified Kolmogorov-Smirnov test procedures
     with applications to  arbitrarily censored data. _Biometrics_,
     *36*, 607-625.

     Thomas R. Fleming, Stephanie J. Green & David P. Harrington
     (1984), Considerations of monitoring and evaluating treatment
     effects in clinical trials. _Controlled Clinical Trials_, *5*,
     55-66.

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

     Martin Schumacher & Gabi Schulgen (2002), _Methodik klinischer 
     Studien: methodische Grundlagen der Planung, Durchf\"uhrung und
     Auswertung._ Springer, Heidelberg.

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

     data(ocarcinoma)
     attach(ocarcinoma)
     # compute integer valued logrank scores
     logrsc <- cscores.Surv(cbind(time, cens), int=TRUE)
     # the test statistic
     lgT <- sum(logrsc[stadium == "II"])
     # p-value
     round(pperm(lgT, logrsc, m=sum(stadium=="II"), al="tw"), 4)

     # compute logrank scores and simulate p-value
     logrsc <- cscores.Surv(cbind(time, cens), int=FALSE)
     # the test statistic
     lgT <- sum(logrsc[stadium == "II"])
     # p-value
     round(pperm(lgT, logrsc, m=sum(stadium=="II"), al="tw", simulate=TRUE), 4)

