@article{patil_frey_2004, title={Comparison of sensitivity analysis methods based on applications to a food safety risk assessment model}, volume={24}, ISSN={["1539-6924"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-3042765751&partnerID=MN8TOARS}, DOI={10.1111/j.0272-4332.2004.00460.x}, abstractNote={Sensitivity analysis (SA) methods are a valuable tool for identifying critical control points (CCPs), which is one of the important steps in the hazard analysis and CCP approach that is used to ensure safe food. There are many SA methods used across various disciplines. Furthermore, food safety process risk models pose challenges because they often are highly nonlinear, contain thresholds, and have discrete inputs. Therefore, it is useful to compare and evaluate SA methods based upon applications to an example food safety risk model. Ten SA methods were applied to a draft Vibrio parahaemolyticus (Vp) risk assessment model developed by the Food and Drug Administration. The model was modified so that all inputs were independent. Rankings of key inputs from different methods were compared. Inputs such as water temperature, number of oysters per meal, and the distributional assumption for the unrefrigerated time were the most important inputs, whereas time on water, fraction of pathogenic Vp, and the distributional assumption for the weight of oysters were the least important inputs. Most of the methods gave a similar ranking of key inputs even though the methods differed in terms of being graphical, mathematical, or statistical, accounting for individual effects or joint effect of inputs, and being model dependent or model independent. A key recommendation is that methods be further compared by application on different and more complex food safety models. Model independent methods, such as ANOVA, mutual information index, and scatter plots, are expected to be more robust than others evaluated.}, number={3}, journal={RISK ANALYSIS}, author={Patil, SR and Frey, HC}, year={2004}, month={Jun}, pages={573–585} }
 @inproceedings{frey_patil_2002, title={Identification and review of sensitivity analysis methods}, volume={22}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-0036085488&partnerID=MN8TOARS}, DOI={10.1111/0272-4332.00039}, abstractNote={Identification and qualitative comparison of sensitivity analysis methods that have been used across various disciplines, and that merit consideration for application to food‐safety risk assessment models, are presented in this article. Sensitivity analysis can help in identifying critical control points, prioritizing additional data collection or research, and verifying and validating a model. Ten sensitivity analysis methods, including four mathematical methods, five statistical methods, and one graphical method, are identified. The selected methods are compared on the basis of their applicability to different types of models, computational issues such as initial data requirement and complexity of their application, representation of the sensitivity, and the specific uses of these methods. Applications of these methods are illustrated with examples from various fields. No one method is clearly best for food‐safety risk models. In general, use of two or more methods, preferably with dissimilar theoretical foundations, may be needed to increase confidence in the ranking of key inputs.}, number={3}, booktitle={Risk Analysis}, author={Frey, H. Christopher and Patil, S.R.}, year={2002}, pages={553–578} }