ohio                 package:geepack                 R Documentation

_O_h_i_o _C_h_i_l_d_r_e_n _W_h_e_e_z_e _S_t_a_t_u_s

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

     The 'ohio' data frame has 2148 rows and 4 columns. The dataset is
     a subset of the six-city study, a longitudinal study of the health
     effects of air pollution.

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

     data(ohio)

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

     This data frame contains the following columns:

     _r_e_s_p an indicator of wheeze status (1=yes, 0=no)

     _i_d a numeric vector for subject id

     _a_g_e a numeric vector of age, 0 is 9 years old

     _s_m_o_k_e an indicator of maternal smoking at the first year of the
          study

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

     Fitzmaurice, G.M. and Laird, N.M. (1993) A likelihood-based method
     for analyzing longitudinal binary responses, _Biometrika_ *80*:
     141-151.

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

     data(ohio)
     fit <- geese(resp ~ age + smoke + age:smoke, id=id, data=ohio,
                  family=binomial, corstr="exch", scale.fix=TRUE)
     summary(fit)
     fit.ar1 <- geese(resp ~ age + smoke + age:smoke, id=id, data=ohio,
                      family=binomial, corstr="ar1", scale.fix=TRUE)
     summary(fit.ar1)

