Research Article
Secondary Analysis under Cohort Sampling Designs Using Conditional Likelihood
Table 5
Maximum likelihood estimates (standard errors) of the parameters of the BMI model .
| Likelihood | | | | | | | | | |
| Conditional | 100 | 26.91 (0.14) | (0.02) | (0.27) | 4.27 | 0.88 (0.02) | 0.14 (0.03) | 0.37 | (0.05) | (6.2) | 1000 | 26.92 (0.14) | (0.02) | (0.27) | 4.27 | 0.88 (0.02) | 0.14 (0.03) | 0.37 | (0.05) | | 5000 | 26.92 (0.14) | (0.02) | (0.27) | 4.27 | 0.88 (0.02) | 0.14 (0.03) | 0.37 | (0.05) | Conditional | 100 | 26.93 (0.13) | (0.02) | (0.26) | 4.25 | 0.87 (0.02) | 0.14 (0.03) | 0.37 | (0.05) | (6.3) | 1000 | 26.93 (0.13) | (0.02) | (0.26) | 4.25 | 0.87 (0.02) | 0.14 (0.03) | 0.37 | (0.05) | | 5000 | 26.93 (0.13) | (0.02) | (0.26) | 4.25 | 0.87 (0.02) | 0.14 (0.03) | 0.37 | (0.05) | Full | — | 26.94 (0.07) | (0.01) | (0.25) | 4.06 | 0.83 (0.01) | 0.13 (0.01) | 0.35 | (0.03) | Weighted | — | 26.94 (0.15) | (0.03) | (0.33) | 4.30 | 0.88 (0.04) | 0.17 (0.05) | 0.41 | (0.11) |
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