Second Order Generalized Estimating Equations 
    for Correlated Binary Data (v0.5-pc)
      (C) Bahjat Qaqish, 1990

--  Title1: test of GEE2 for the PC --
--  Title2:  --
Data file: test1.dat
dim(x):            1
dim(b):            2
# classes          2
max #iter:        10
tolerance:  0.0010000000000
# clusters:        6
cluster size          #clusters
     2                      6
The model:
1 : B1 X1  
2 : B1 X1  
1.1 : 0
1.2 : B2 X1  
2.2 : 0

Method of computing 3rd and 4th order moments: The exact method.
-- GEE2 --

monitorb: iter =    0  b = 
       1   0.10000
       2   0.10000
monitorb: iter =    1  b = 
       1   0.33400
       2  -0.05468
monitorb: iter =    2  b = 
       1   0.33647
       2  -0.11765
monitorb: iter =    3  b = 
       1   0.33647
       2  -0.11778
Converged after     3 iterations.
Method of computing 3rd and 4th order moments: The exact method.
-- GEE2 --

Estimates:
Beta:                    Estimate    Robust s.e.     Naive s.e.     Robust z
1 Yi:1                  0.33647        0.57711        0.57711        0.58303  
2 logOR:1              -0.11778        1.68325        1.68325       -0.06997  
(Lower = Correlation \ Upper = Variance)
Robust Correlation \ Variance Matrix Estimate:
( 1)  0.33306   0.00000  
( 2)  0.00000   2.83333  

Naive  Correlation \ Variance Matrix Estimate:
( 1)  0.33306   0.00000  
( 2)  0.00000   2.83333