Evaluation of a Social Marketing Campaign Based on a Risk Factor Model for the Early Detection of Oral Cancer in a High Incidence Country: Sri Lankan Experience

2020 ◽  
Author(s):  
Hemantha Amarasinghe ◽  
Saman Warnakulasuriya ◽  
Newell W. Johnson
Keyword(s):  
Risk Factor ◽  
Oral Cancer ◽  
Early Detection ◽  
Social Marketing ◽  
Factor Model ◽  
Sri Lankan ◽  
Risk Factor Model ◽  
Social Marketing Campaign ◽  
High Incidence ◽  
High Incidence Country

Suicide among individuals with schizophrenia: A risk factor model

2014 ◽  
Vol 14 (2) ◽  
pp. 112-132 ◽  
Author(s):  
Lindsay A. Bornheimer ◽  
Duy Nguyen
Keyword(s):  
Risk Factor ◽  
Factor Model ◽  
Risk Factor Model

Risk factor model of mechanical complications in implant-supported fixed complete dentures: A prospective cohort study

2018 ◽  
Vol 29 (9) ◽  
pp. 915-921 ◽  
Author(s):  
Maria Paula L. Coltro ◽  
Ahmet Ozkomur ◽  
Eduardo A. Villarinho ◽  
Eduardo R. Teixeira ◽  
Alvaro Vigo ◽  
...  
Keyword(s):  
Risk Factor ◽  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Factor Model ◽  
Complete Dentures ◽  
Risk Factor Model ◽  
Mechanical Complications

scholarly journals Entropy Risk Factor Model of Exchange Rate Prediction

2017 ◽  
Vol 8 (3) ◽  
pp. 51 ◽  
Author(s):  
Darrol J. Stanley ◽  
Levan Efremidze ◽  
Jannie Rossouw
Keyword(s):  
Risk Factor ◽  
Exchange Rate ◽  
Complex Systems ◽  
South African ◽  
Foreign Exchange Market ◽  
Factor Model ◽  
Risk Factor Model ◽  
Dynamic Investment ◽  
Daily Data ◽  
Exchange Rate Prediction

We investigate the predictability of an exchange rate with entropy risk factor model, as there is growing evidence that financial markets behave as complex systems. The model is tested on the data of South African Rand (ZAR) exchange rate for the period of 2004-2015. We calculate sample entropy based on the daily data of the exchange rate and conduct empirical implementation of several market timing rules based on these entropy signals. The dynamic investment portfolio based on entropy signals produces better risk adjusted performance than a buy and hold strategy. The returns are estimated on the portfolio values in U.S. dollars. The results raise the potential attractiveness of complex systems analyses, especially the methods of entropy, for foreign exchange market research and applications.

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