$$P(response)=1-[1+dose\frac{2^{\frac{1}{a}}-1}{N^{50}} ]^{-a}$$
Model | Deviance | Δ | Degrees of freedom |
χ20.95,1 p-value |
χ20.95,m-k p-value |
Exponential | 9.88 | 6.48 | 5 | 3.84 0.011 |
11.1 0.0788 |
beta Poisson | 3.4 | 4 | 9.49 0.494 |
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beta-Poisson fits better than exponential; can not reject good fit for beta-Poisson |
Parameter | MLE Estimate | 0.5% | 2.5% | 5% | 95% | 97.5% | 99.5% |
α | 6.95E-01 | 2.69E-01 | 3.39E-01 | 3.78E-01 | 2.56E+0 | 2.28E+01 | 1.18E+03 |
N50 | 3.39E+03 | 3.58E+01 | 2.47E+02 | 4.67E+02 | 1.09E+04 | 1.26E+04 | 1.85E+04 |
Dose (CFU) | Infected | Non-Infected | Total |
---|---|---|---|
5500 | 7 | 3 | 10 |
32400 | 7 | 3 | 10 |
55000 | 9 | 1 | 10 |
251000 | 10 | 0 | 10 |
550000 | 10 | 0 | 10 |
2820000 | 10 | 0 | 10 |
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Parameter scatter plot for beta Poisson model ellipses signify the 0.9, 0.95 and 0.99 confidence of the parameters.
beta Poisson model plot, with confidence bounds around optimized model
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Parameter scatter plot for beta Poisson model ellipses signify the 0.9, 0.95 and 0.99 confidence of the parameters.
beta Poisson model plot, with confidence bounds around optimized model
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Parameter scatter plot for beta Poisson model ellipses signify the 0.9, 0.95 and 0.99 confidence of the parameters.
beta Poisson model plot, with confidence bounds around optimized model
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Parameter scatter plot for beta Poisson model ellipses signify the 0.9, 0.95 and 0.99 confidence of the parameters.
beta Poisson model plot, with confidence bounds around optimized model
The same exposure route and endpoint was evaluated for Experiments 3 and 4 (Cerva, 1967b; Culbertson et al. 1966)[6] [5]. A pooling analysis was attempted and successful. The beta-Poisson model provided a good fit to the pooled data and is shown below in Figure 1. Note: both the exact and approximate beta-Poisson models were fit to the data. The figures shown below and the csv file of bootstrapped parameter replicates are for the best fitting parameters of the exact beta-Poisson model. The successful pooling of multiple datasets generally increases the confidence in the estimated model parameters.
[6] Cerva, L. (1967b). Intranasal, Intrapulmonary, and Intracardial Inoculation of Experimental Animals with Hartmanella castellanii. Folia Parasitologica (Praha), 14, 207–215.
[5] Culbertson, C. G., Ensminger, P. W., & Overton, W. M. (1966). Hartmannella (Acanthamoeba): Experimental Chronic, Granulomatous Brain Infections Produced by New Isolates of Low Virulence. The American Journal of Clinical Pathology, 46(3), 305–314.
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Parameter scatter plot for beta Poisson model ellipses signify the 0.9, 0.95 and 0.99 confidence of the parameters.
beta Poisson model plot, with confidence bounds around optimized model
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Parameter scatter plot for beta Poisson model ellipses signify the 0.9, 0.95 and 0.99 confidence of the parameters.
beta Poisson model plot, with confidence bounds around optimized model
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