Table 5 Lethal dose ratios for the examples fitted to the probit-log(dose) regression models calculated by the ML procedure (Excel), Polo-Plus and SPSS
From: Comparing lethal dose ratios using probit regression with arbitrary slopes
Interested levels (π) | Comparison | Lethal ratio (95%CL) | RMP (95%CL)a | |
|---|---|---|---|---|
Excel | Polo-Plus | SPSS2b | ||
10 | Rotenone/Deguelin | 0.745 (0.496, 1.119) | 0.745 (0.494, 1.122) | |
Rotenone/Mixture | 1.211 (0.812, 1.808) | 1.211 (0.805, 1.824) | ||
Fairfax/Scheafer | 1.006 (0.645, 1.569) | 1.006 (0.642, 1.577) | ||
Fairfax / Pixley c | 0.211 (0.128, 0.346) | 0.221 (0.132, 0.369) | ||
BugRes / BugLab | 0.697 (0.376, 1.293) | 0.520 (0.238, 1.138) | ||
50 | Rotenone/Deguelin | 0.489 (0.398, 0.602) | 0.489 (0.397, 0.603) | 0.455 (0.173, 0.793) |
Rotenone/Mixture | 0.761 (0.623, 0.929) | 0.761 (0.621, 0.933) | 0.710 (0.440, 1.005) | |
Fairfax/Scheafer | 1.097 (0.905, 1.329) | 1.097 (0.902, 1.335) | 1.106 (0.811, 1.550) | |
Fairfax / Pixley c | 0.244 (0.198, 0.301) | 0.250 (0.201, 0.311) | 0.261 (0.045, 0.571) | |
BugRes / BugLab | 2.254 (1.753, 2.898) | 2.030 (1.478, 2.787) | 3.898 (0.455, 4701.677) | |
90 | Rotenone/Deguelin | 0.321 (0.243, 0.425) | 0.321 (0.241, 0.428) | |
Rotenone/Mixture | 0.478 (0.357, 0.642) | 0.478 (0.354, 0.646) | ||
Fairfax/Scheafer | 1.196 (0.819, 1.747) | 1.196 (0.814, 1.758) | ||
Fairfax / Pixley c | 0.282 (0.189, 0.422) | 0.283 (0.186, 0.430) | ||
BugRes / BugLab | 7.288 (4.014, 13.232) | 7.926 (4.077, 15.412) | ||
99 | Rotenone/Deguelin | 0.228 (0.142, 0.366) | 0.228 (0.140, 0.371) | |
Rotenone/Mixture | 0.328 (0.199, 0.539) | 0.328 (0.197, 0.546) | ||
Fairfax/Scheafer | 1.284 (0.667, 2.469) | 1.284 (0.661, 2.493) | ||
Fairfax / Pixley | 0.318 (0.158, 0.642) | 0.313 (0.151, 0.651) | ||
BugRes / BugLab | 18.968 (6.820, 52.753) | 24.064 (7.520, 77.007) | ||