rheuma               package:Fahrmeir               R Documentation

_D_a_t_a _f_r_o_m _P_a_t_i_e_n_t_s _w_i_t_h _A_c_u_t_e _R_h_e_u_m_a_t_o_i_d _A_r_t_h_r_i_t_i_s

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

     Data from patients with acute rheumathoid arthritis. A new agent 
     was compared with an active control, and each patient was
     evaluated  on a five-point assessment scale.

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

     data(rheuma)

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

     A data frame with 10 observations on the following 3 variables.

     _D_r_u_g a factor with levels 'Active.control' 'New.agent'

     _I_m_p_r_o_v_e_m_e_n_t an ordered factor with levels 'Much.worse' <  'Worse'
          < 'No.change' < 'Improved' <  'Much.improved'

     _n number of patients in group

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

     The global assessment in this example may be subdivided in the
     coarse  response "improvement", "no change" and "worse". On a
     higher level  improvement is split into "much improved" and
     "improved",  while the "worse" category is split into "worse" and
     "much worse".

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

     Ludwig Fahrmeir, Gerhard Tutz (1994):  Multivariate Statistical
     Modelling Based on Generalized Linear Models. Springer Series in
     Statistics.  Springer Verlag. New-York  Berlin Heidelberg

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

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

     str(rheuma)
     summary(rheuma) 

