Table 3.
Performance of methods for regression of (continuous) distress at Wave II with missing dieting indicator
|
% complete data |
Method |
Diet (β1 = −0.101) |
Distress (β2 = 0.554) |
Health (β6 = 0.042) |
|||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Bias | SE | StdBias | Coverage | Bias | SE | StdBias | Coverage | Bias | SE | StdBias | Coverage | ||
| 90% |
CCA |
0.001 |
0.067 |
0.019 |
94.2% |
−0.006 |
0.036 |
−0.154 |
94.9% |
−0.001 |
0.032 |
−0.020 |
95.1% |
| |
MVNI-skew0 |
0.005 |
0.065 |
0.074 |
94.6% |
0.001 |
0.034 |
0.020 |
94.7% |
−0.001 |
0.030 |
−0.043 |
95.3% |
| 75% |
CCA |
−0.001 |
0.075 |
−0.014 |
95.0% |
−0.014 |
0.040 |
−0.360 |
94.9% |
<0.001 |
0.036 |
0.009 |
95.5% |
| |
MVNI-skew0 |
0.008 |
0.070 |
0.119 |
96.1% |
<0.001 |
0.034 |
0.013 |
95.2% |
−0.001 |
0.030 |
−0.042 |
95.6% |
| 50% |
CCA |
−0.006 |
0.097 |
−0.065 |
94.2% |
−0.028 |
0.049 |
−0.577 |
91.8% |
0.004 |
0.047 |
0.086 |
94.6% |
| |
MVNI-skew0 |
0.014 |
0.080 |
0.175 |
95.6% |
0.001 |
0.034 |
0.032 |
94.6% |
<0.001 |
0.030 |
−0.002 |
96.3% |
| 25% |
CCA |
−0.011 |
0.147 |
−0.076 |
94.6% |
−0.043 |
0.072 |
−0.603 |
91.9% |
−0.001 |
0.071 |
−0.014 |
94.3% |
| |
MVNI-skew0 |
0.018 |
0.104 |
0.172 |
96.1% |
<0.001 |
0.034 |
−0.009 |
93.6% |
−0.002 |
0.030 |
−0.071 |
94.2% |
| 10% |
CCA |
−0.020 |
0.250 |
−0.081 |
95.8% |
−0.053 |
0.118 |
−0.452 |
92.2% |
0.009 |
0.120 |
0.077 |
94.7% |
| MVNI-skew0 | 0.011 | 0.149 | 0.071 | 95.0% | −0.001 | 0.035 | −0.042 | 95.9% | <0.001 | 0.031 | −0.014 | 95.4% | |
Measures of performance are mean values in the estimation of the β parameters from Equation 1 across the 1000 simulated datasets of 1000 observations (compared to the true values from the synthetic population of 971,327). CCA = Complete Case Analysis; MVNI = Multivariate normal imputation; StdBias = standardised bias; SE = average (estimated) standard error across the 1000 datasets.