Analyzing the effect of selected control policy measures and sociodemographic factors on alcoholic beverage consumption in Europe within the AMPHORA project: statistical methods.
This paper describes the methods used to investigate variations in total alcoholic beverage consumption as related to selected control intervention policies and other socioeconomic factors (unplanned factors) within 12 European countries involved in the AMPHORA project. The analysis presented several critical points: presence of missing values, strong correlation among the unplanned factors, long-term waves or trends in both the time series of alcohol consumption and the time series of the main explanatory variables. These difficulties were addressed by implementing a multiple imputation procedure for filling in missing values, then specifying for each country a multiple regression model which accounted for time trend, policy measures and a limited set of unplanned factors, selected in advance on the basis of sociological and statistical considerations are addressed. This approach allowed estimating the "net" effect of the selected control policies on alcohol consumption, but not the association between each unplanned factor and the outcome.
1Department of Statistics, University of Florence , Florence , Italy.
Michela
M
Baccini
Giulia
G
Carreras
D000428:Alcohol Drinking / Q000453:epidemiology / Q000517:prevention & control*; D004522:Educational Status; D005060:Europe / Q000453:epidemiology; D005260:Female; D006291:Health Policy; D006801:Humans; D008297:Male; D015233:Models, Statistical; D015397:Program Evaluation; D012044:Regression Analysis; D012737:Sex Factors; D012959:Socioeconomic Factors; D013223:Statistics as Topic / Q000379:methods*
alcoholic beverage consumption; multiple imputation; multiple regression; time series