HIGHLIGHTS
- who: Wenbin Liang et al. from the School of Public Health, Fujian Medical University, Fuzhou, China have published the research work: Predicting Alcohol Consumption Patterns for Individuals with a User-Friendly Parsimonious Statistical Model, in the Journal: (JOURNAL)
- what: The authors aimed to develop a user-friendly and readily replicable computational model that predicts: (i) an individual`s probability of consuming alcohol u22652 3 4 drinks; and_(ii) the total number of days during which consumption is u22652 3 4 drinks over a specified period. The training sample was used to estimate the model parameters . . .
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