Sensitivity Analysis for the Relative Risk Model Sample Clauses

Sensitivity Analysis for the Relative Risk Model. The results of the sensitivity analysis can be found in Section 10. 1. In the following analyses, only the exposure filter was used. The effects filters are expected to affect the model in ways similar to the exposure filter and were not presented here. The first step in examining the Relative Risk Model was to determine the contribution that each component of the model (source ranks, habitat ranks, and filter values) made to the final result. A component could be removed from the model by changing its values to 1 and then running the model without changing the other components. The model was examined under three conditions: 1. No source ranks, 2. No habitat ranks, 3. No filter. The sensitivity of the model was examined through a series of tests in which ranks or weighting factors were chosen randomly for input into the model. For instance, in one test the exposure filter was held constant while a random number generator ranked the sources and habitats. We then ran the model twenty times with the ranks randomly generated each time. Plotting the resulting relative risk estimates for each sub-area provided a visual assessment of the variability inherent in the model under these initial conditions. The model was tested in this manner under the following conditions. 1. random input for sub-area ranks, random input for the exposure filter 2. random input for sub-area ranks, fixed input for the exposure filter 3. fixed input for the sub-area ranks, random input for the exposure filter 1. We ran an additional test to determine the sensitivity of the model when uncertainty in the ranks was considered. Instead of using a set rank or a randomly chosen rank for the input values, we allowed the model to choose from within a range of ranks that we considered as possible choices. The ranges were our subjective estimates of the chance that the source could cause an impact or that the habitat could be sensitive to an impact in the sub-area. 0 none (or very unlikely) 0-2 unlikely 0-4 unlikely but somewhat uncertain 0-6 possible but very uncertain
Sample 1
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