m | \(\alpha \) | R* | \({\hat{\beta }}_0\) | \({\hat{\beta }}_1\) | \({\hat{\beta }}_2\) | \({\hat{\beta }}_3\) | \({\hat{\alpha }}\) |
---|---|---|---|---|---|---|---|
Percent bias using ML | |||||||
 60 | 0.2 | 1000 | 2.57 | 0.53 | −0.61 | −0.53 | 9.41 |
0.4 | 1000 | 6.33 | −0.42 | −1.15 | −2.31 | 5.15 | |
0.6 | 1000 | 1.95 | 0.05 | −0.95 | 0.27 | 2.65 | |
0.7 | 998 | −2.21 | 2.71 | 0.72 | 1.21 | 0.69 | |
 120 | 0.2 | 1000 | −0.04 | 0.14 | 0.07 | 0.20 | 5.30 |
0.4 | 1000 | 2.25 | −0.52 | −0.57 | −0.65 | 2.74 | |
0.6 | 1000 | 0.43 | −0.79 | 0.08 | −0.13 | 1.39 | |
0.7 | 1000 | 2.00 | 0.15 | −0.01 | −1.04 | 0.17 | |
 300 | 0.2 | 1000 | 0.68 | −0.18 | −0.57 | 0.22 | 2.83 |
0.4 | 1000 | 0.85 | −0.29 | −0.16 | −0.25 | 1.31 | |
0.6 | 1000 | 1.91 | −0.38 | −0.30 | −0.75 | 0.53 | |
0.7 | 1000 | 1.47 | −0.29 | −0.14 | −0.63 | −0.03 | |
Percent bias using GEE | |||||||
 60 | 0.2 | 1000 | 2.48 | 0.54 | −0.60 | −0.49 | 10.94 |
0.4 | 1000 | 6.26 | −0.34 | −1.10 | −2.29 | 6.06 | |
0.6 | 1000 | 1.88 | 0.64 | −0.90 | 0.45 | 4.86 | |
0.7 | 1000 | 0.60 | 1.87 | −0.28 | 0.84 | 4.60 | |
 120 | 0.2 | 1000 | −0.22 | 0.07 | 0.13 | 0.24 | 6.19 |
0.4 | 1000 | 1.95 | −0.51 | −0.40 | −0.64 | 2.89 | |
0.6 | 1000 | 0.16 | −1.05 | 0.34 | −0.21 | 2.18 | |
0.7 | 1000 | 1.74 | −0.22 | 0.14 | −0.83 | 2.55 | |
 300 | 0.2 | 1000 | 0.65 | −0.23 | −0.57 | 0.23 | 2.87 |
0.4 | 1000 | 0.72 | −0.32 | −0.15 | −0.18 | 0.98 | |
0.6 | 1000 | 2.03 | −0.33 | −0.23 | −0.88 | 0.86 | |
0.7 | 1000 | 2.83 | −0.20 | −0.58 | −0.91 | 1.64 |