Parameter and model uncertainty in a life-table model for fine particles (PM2.5): a statistical modeling study |
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| Authors: | Marko Tainio Jouni T Tuomisto Otto Hänninen Juhani Ruuskanen Matti J Jantunen Juha Pekkanen |
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| Affiliation: | (1) Centre of Excellence for Environmental Health Risk Analysis, National Public Health Institute, , Kuopio, Finland;(2) Department of Environmental Science, University of Kuopio, Kuopio, Finland;(3) School of Public Health and Clinical Nutrition, University of Kuopio, Kuopio, Finland |
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| Abstract: | Background The estimation of health impacts involves often uncertain input variables and assumptions which have to be incorporated into the model structure. These uncertainties may have significant effects on the results obtained with model, and, thus, on decision making. Fine particles (PM2.5) are believed to cause major health impacts, and, consequently, uncertainties in their health impact assessment have clear relevance to policy-making. We studied the effects of various uncertain input variables by building a life-table model for fine particles. |
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