Benefit-Risk Assessment of Statins (Lipid Lowering Agents): A Multi-Criteria Decision Analysis

2015 ◽  
Vol 23 (1-2) ◽  
pp. 28-39 ◽  
Author(s):  
Tanatape Wanishayakorn ◽  
Surachat Ngorsuraches
Keyword(s):  
Risk Assessment ◽  
Decision Analysis ◽  
Lipid Lowering ◽  
Multi Criteria Decision Analysis ◽  
Benefit Risk Assessment ◽  
Lipid Lowering Agents

scholarly journals Coastal Flooding Risk Assessment Using a GIS-Based Spatial Multi-Criteria Decision Analysis Approach

Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2379
Author(s):  
Vahid Hadipour ◽  
Freydoon Vafaie ◽  
Kaveh Deilami
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Decision Analysis ◽  
Sea Level ◽  
Flood Risk ◽  
Social Vulnerability ◽  
Quantitative Methods ◽  
Coastal Flooding ◽  
Rcp Scenarios ◽  
Multi Criteria Decision Analysis

Coastal areas are expected to be at a higher risk of flooding when climate change-induced sea-level rise (SLR) is combined with episodic rises in sea level. Flood susceptibility mapping (FSM), mostly based on statistical and machine learning methods, has been widely employed to mitigate flood risk; however, they neglect exposure and vulnerability assessment as the key components of flood risk. Flood risk assessment is often conducted by quantitative methods (e.g., probabilistic). Such assessment uses analytical and empirical techniques to construct the physical vulnerability curves of elements at risk, but the role of people’s capacity, depending on social vulnerability, remains limited. To address this gap, this study developed a semiquantitative method, based on the spatial multi-criteria decision analysis (SMCDA). The model combines two representative concentration pathway (RCP) scenarios: RCP 2.6 and RCP 8.5, and factors triggering coastal flooding in Bandar Abbas, Iran. It also employs an analytical hierarchy process (AHP) model to weight indicators of hazard, exposure, and social vulnerability components. Under the most extreme flooding scenario, 14.8% of flooded areas were identified as high and very high risk, mostly located in eastern, western, and partly in the middle of the City. The results of this study can be employed by decision-makers to apply appropriate risk reduction strategies in high-risk flooding zones.

scholarly journals Applying Multiple Criteria Decision Analysis to Comparative Benefit-Risk Assessment

2015 ◽  
Vol 35 (7) ◽  
pp. 859-871 ◽  
Author(s):  
Tommi Tervonen ◽  
Huseyin Naci ◽  
Gert van Valkenhoef ◽  
Anthony E. Ades ◽  
Aris Angelis ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Decision Analysis ◽  
Multiple Criteria ◽  
Multiple Criteria Decision Analysis ◽  
Benefit Risk Assessment
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