Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 6430 - 6438 |
| Number of pages | 9 |
| Journal | Expert Systems with Applications |
| Volume | 38 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2011 |
Cite this
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Evaluating the effect of health warnings in influencing Australian smokers' psychosocial and quitting behaviours using fuzzy causal network. / Zhang, Jian; Borland, Ronald; Coghill, Kenneth; Petrovic-Lazarevic, Sonja Yrjo Olavi; Young, David; Yeh, Chung-Hsing; Bedingfield, Susan.
In: Expert Systems with Applications, Vol. 38, No. 6, 2011, p. 6430 - 6438.Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Evaluating the effect of health warnings in influencing Australian smokers' psychosocial and quitting behaviours using fuzzy causal network
AU - Zhang, Jian
AU - Borland, Ronald
AU - Coghill, Kenneth
AU - Petrovic-Lazarevic, Sonja Yrjo Olavi
AU - Young, David
AU - Yeh, Chung-Hsing
AU - Bedingfield, Susan
PY - 2011
Y1 - 2011
N2 - This paper explores the application of fuzzy causal networks (FCNs) to evaluating effect of health warnings in influencing Australian smokersa?? psychosocial and quitting behaviour. The sample data used in this study are selected from the International Tobacco Control Policy Evaluation Survey project. Our research findings have demonstrated that new health warnings implemented in Australia have obvious impacts on smokersa?? psychosocial and quitting behaviours. FCN is a useful framework to investigate such impacts that overcome the limitation of using traditional statistical techniques, such as linear regression and logistics regression, to analyse non-linear data.
AB - This paper explores the application of fuzzy causal networks (FCNs) to evaluating effect of health warnings in influencing Australian smokersa?? psychosocial and quitting behaviour. The sample data used in this study are selected from the International Tobacco Control Policy Evaluation Survey project. Our research findings have demonstrated that new health warnings implemented in Australia have obvious impacts on smokersa?? psychosocial and quitting behaviours. FCN is a useful framework to investigate such impacts that overcome the limitation of using traditional statistical techniques, such as linear regression and logistics regression, to analyse non-linear data.
U2 - 10.1016/j.eswa.2010.11.042
DO - 10.1016/j.eswa.2010.11.042
M3 - Article
VL - 38
SP - 6430
EP - 6438
JO - Expert Systems with Applications
JF - Expert Systems with Applications
SN - 0957-4174
IS - 6
ER -