Titlebook: Risk Analysis Foundations, Models, and Methods; Louis Anthony Cox Book 2002 Springer Science+Business Media New York 2002 Public Health.Si

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元音

International Series in Operations Research & Management Sciencehttp://image.papertrans.cn/r/image/830601.jpg

預(yù)測(cè)

https://doi.org/10.1007/978-1-4615-0847-2Public Health; Simulation; Stakeholder; algorithms; assessment; calculus; decision support; management; mode

擔(dān)心

Causality,ures, then the answers provide a basis for choosing among different risk management actions that affect or constrain exposures. More generally, risk assessment deals with the causal link between actions and their probable consequences. Therefore, techniques for modeling such causal relations are crucial to successful risk assessment.

foodstuff

Risk Assessment Modeling,essment (QRA) must characterize uncertainty about these probabilistic predictions and their sensitivities to different assumptions and modeling choices. Predictions of probable consequences and their uncertainties provide the crucial information needed to make well-informed choices among different actions.

META

Statistical Risk Modeling,nse probabilities within an individual, statistical risk modeling relies on observed data relating exposures, covariates, and responses at the level of the whole organism or a population of organisms. It seeks to describe this multivariate relation parsimoniously, often as a sum of a stable, predictable relation and a random component.

護(hù)航艦

Multi-Party Risk Management Decision Processes,are iteratively modified until an outcome is reached. Examples of such decision processes include contracts, negotiation (with or without arbitration), auctions, voting, tort liability systems, regulation, market processes and legislative politics.

Radiculopathy

Humble

Multiattribute, Multi-Person, and Multi-Period Risks,zards can affect several aspects of health, such as the frequency, duration, type, and intensity or severity of exposure-related illnesses. Different people, including people of different ages, may value these aspects of health effects differently.