Risk-minimization hedging under nonoptimal exercising

2011 ◽  
Vol 13 (4) ◽  
pp. 63-93
Author(s):  
Dmitriy Levchenkov ◽  
Thomas Coleman ◽  
Yuying Li
Keyword(s):  
Risk Minimization

Risk Minimization Measures in Off-Label Drug Use: A Survey of Community Pharmacists in Malaysia

2020 ◽  
Vol 15 (3) ◽  
pp. 181-189
Author(s):  
Omotayo Fatokun
Keyword(s):  
Informed Consent ◽  
Drug Use ◽  
Perceived Risk ◽  
Adverse Drug Events ◽  
Community Pharmacists ◽  
Risk Minimization ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Off Label ◽  
Written Informed Consent

Background: While off-label drug use is common and sometimes necessary, it also presents considerable risks. Therefore, measures intended to prevent or reduce the potential exposure to off-label risks have been recommended. However, little is known about community pharmacists’ beliefs regarding these measures in Malaysia. Objectives: This study examined community pharmacists’ beliefs towards risk minimization measures in off-label drug use in Malaysia and assessed the relationship between perceived risk of off-label drug use and beliefs towards risk minimization measures. Methods: A cross-sectional survey was conducted among 154 pharmacists practicing in randomly selected community pharmacies in Kuala Lumpur and the State of Selangor, Malaysia. Results: The majority agreed or strongly agreed that adverse drug events from the off-label drug should be reported to the regulatory authority (90.9%) and the off-label drug should only be used when the benefit outweighs potential risks (88.3%). Less than half (48.1%) agreed or strongly agreed that written informed consent should be obtained before dispensing off-label drugs and a majority (63.7%) agreed or strongly agreed that the informed consent process will be burdensome to healthcare professionals. Beliefs towards risk minimization measures were significantly associated with perceived risk of off-label drug use regarding efficacy (p = 0. 033), safety (p = 0.001), adverse drug rection (p = 0.001) and medication errors (p = 0.002). Conclusion: The community pharmacists have positive beliefs towards most of the risk minimization measures. However, beliefs towards written informed consent requirements are not encouraging. Enhancing risk perception may help influence positive beliefs towards risk minimization measures.

Passenger Flow Forecast of Urban Rail Transit Based on Support Vector Regression

2013 ◽  
Vol 433-435 ◽  
pp. 612-616 ◽  
Author(s):  
Bin Xia ◽  
Fan Yu Kong ◽  
Song Yuan Xie
Keyword(s):  
Support Vector Regression ◽  
Risk Function ◽  
Urban Rail Transit ◽  
Support Vector ◽  
Rail Transit ◽  
Risk Minimization ◽  
Promising Alternative ◽  
Minimization Principle ◽  
Passenger Flow ◽  
Urban Rail

This study analyses and compares several forecast methods of urban rail transit passenger flow, and indicates the necessity of forecasting short-term passenger flow. Support vector regression is a promising method for the forecast of passenger flow because it uses a risk function consisting of the empirical error and a regularized term which is based on the structural risk minimization principle. In this paper, the prediction model of urban rail transit passenger flow is constructed. Through the comparison with BP neural networks forecast methods, the experimental results show that applying this method in URT passenger flow forecasting is feasible and it provides a promising alternative to passenger flow prediction.

scholarly journals The effectiveness of dear healthcare professional letters as a risk minimization tool in Ghana

2016 ◽  
Vol 10 (33) ◽  
pp. 681-689
Author(s):  
Tsey Sabblah George ◽  
Mimi Darko Delese ◽  
Asamoa-Amoakohene Abena ◽  
Ashie Adela
Keyword(s):  
Healthcare Professional ◽  
Risk Minimization
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