Table 1 Average log-binomial method and Robust Poisson method estimates*
From: A comparison of two methods for estimating prevalence ratios
| Â | Â | Zero Slope | Medium Slope | High Slope | |||
|---|---|---|---|---|---|---|---|
Prevalence at X = 5 |  | Intercept (SE)†| Slope (SE) | Intercept (SE) | Slope (SE) | Intercept (SE) | Slope (SE) |
0.3 | True Parameters | -1.2040 | 0.00 | -1.7040 | 0.10 | -2.2040 | 0.20 |
|  |  | (Conv. = 100%)‡ | (Conv. = 99.9%) | (Conv. = 90.9%) | |||
| Â | Log-Binomial | -1.2292 (0.3250) | 0.0001 (0.0559) | -1.7387 (0.3692) | 0.1016 (0.0542) | -2.2512 (0.3900) | 0.2046 (0.0488) |
| Â | Robust Poisson | -1.2291 (0.3247) | 0.0001 (0.0558) | -1.7426 (0.3692) | 0.1023 (0.0544) | -2.2634 (0.4027) | 0.2064 (0.0520) |
0.5 | True Parameters | -0.6931 | 0.00 | -0.9431 | 0.05 | -1.1931 | 0.10 |
| Â | Â | (Conv. = 100%) | (Conv. = 99.8%) | (Conv. = 93.5%) | |||
| Â | Log-Binomial | -0.7086 (0.2109) | 0.0014 (0.0361) | -0.9512 (0.2297) | 0.0501 (0.0352) | -1.2039 (0.2413) | 0.1006 (0.0327) |
| Â | Robust Poisson | -0.7088 (0.2112) | 0.0015 (0.0362) | -0.9517 (0.2311) | 0.0502 (0.0356) | -1.2058 (0.2477) | 0.1009 (0.0345) |
0.7 | True Parameters | -0.3567 | 0.00 | -0.5067 | 0.03 | -0.6567 | 0.06 |
| Â | Â | (Conv. = 99.0%) | (Conv. = 96.1%) | (Conv. = 70.3%) | |||
| Â | Log-Binomial | -.3686 (0.1374) | 0.0010 (0.0236) | -0.5115 (0.1485) | 0.0297 (0.0226) | -0.6579 (0.1509) | 0.0598 (0.0194) |
| Â | Robust Poisson | -.3680 (0.1383) | 0.0009 (0.0237) | -0.5139 (0.1513) | 0.0301 (0.0234) | -0.6669 (0.1621) | 0.0614 (0.0225) |