hohnloser              package:maxstat              R Documentation

_L_e_f_t _v_e_n_t_r_i_c_u_l_a_r _e_j_e_c_t_i_o_n _f_r_a_c_t_i_o_n _o_f _p_a_t_i_e_n_t_s _w_i_t_h _m_a_l_i_g_n_a_n_t _v_e_n_t_r_i_c_u_l_a_r
_t_a_c_h_y_a_r_r_h_y_t_h_m_i_a_s.

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

     A data frame with the left ventricular ejection fraction of
     patients with malignant ventricular tachyarrhythmias including
     recurrence-free month and censoring.

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

     data(hohnloser)

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

     '_E_F' left ventricular ejection in percent

     '_m_o_n_t_h' recurrence-free month

     '_c_e_n_s' censoring: 0 cencored, 1 not censored

     The data used here is published in Table 1 of Lausen and
     Schumacher (1992).

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

     The data was first published by Hohnloser et al. (1987),  the data
     used here is published in Table 1 of Lausen and Schumacher (1992).

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

     Hohnloser, S.H., Raeder, E.A., Podrid, P.J., Graboys, T.B. and
     Lown, B. (1987), Predictors of antiarrhythmic drug efficacy in
     patients with malignant ventricular tachyarrhythmias. _American
     Heart Journal_ *114*, 1-7

     Lausen, B. and Schumacher, M. (1992), Maximally Selected Rank
     Statistics. _Biometrics_ *48*, 73-85

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

     data(hohnloser)

     # limiting distribution

     maxstat.test(Surv(month, cens) ~ EF, data=hohnloser, 
     smethod="LogRank", pmethod="Lau92")

     # with integer valued scores for comparison

     maxstat.test(Surv(month, cens) ~ EF, data=hohnloser, 
     smethod="LogRank", pmethod="Lau92", iscores=TRUE)

     # improved Bonferroni inequality

     maxstat.test(Surv(month, cens) ~ EF, data=hohnloser,
     smethod="LogRank", pmethod="Lau94")

     maxstat.test(Surv(month, cens) ~ EF, data=hohnloser,
     smethod="LogRank", pmethod="Lau94", iscores=TRUE)

     # small sample solution by Hothorn & Lausen

     maxstat.test(Surv(month, cens) ~ EF, data=hohnloser,
     smethod="LogRank", pmethod="HL")

     # normal approximation

     maxstat.test(Surv(month, cens) ~ EF, data=hohnloser,
     smethod="LogRank", pmethod="exactGauss")

     maxstat.test(Surv(month, cens) ~ EF, data=hohnloser,
     smethod="LogRank", pmethod="exactGauss", iscores=TRUE)

     # conditional Monte-Carlo

     maxstat.test(Surv(month, cens) ~ EF, data=hohnloser,
     smethod="LogRank", pmethod="condMC", B = 9999)

