@article{e943797daa584b9e8a6376ad9f38f67a,
title = "Machine-learning prediction of adolescent alcohol use: a cross-study, cross-cultural validation",
author = "Afzali, {Mohammad H.} and Matthew Sunderland and Sherry Stewart and Benoit Masse and Jean Seguin and Nicola Newton and Maree Teesson and Patricia Conrod",
note = "Funding Information: Funding for the Canadian data collection was provided by the Canadian Institutes of Health Research (grant FRN114887). Funding for the Australian data collection was provided by the Australian National Health and Medical Research Council Project Grant and Centre of Research Excellence grant. M.H.A. was supported by a postdoctoral fellowship from the Canadian Institutes of Health Research and Sainte Justine Hospital. P.C. was supported by a senior investigator award from the Fonds de la Recherche du Qu{\'e}bec en Sant{\'e}. S.H.S. is supported through a Tier 1 CIHR Canada Research Chair in Addiction and Mental Health. M.T. is supported by Australian National Health and Medical Research Council Fellowship. We would like to thank the participants of the Coventure and CAP projects for making this study happen. Funding Information: Funding for the Canadian data collection was provided by the Canadian Institutes of Health Research (grant FRN114887). Funding for the Australian data collection was provided by the Australian National Health and Medical Research Council Project Grant and Centre of Research Excellence grant. M.H.A. was supported by a postdoctoral fellowship from the Canadian Institutes of Health Research and Sainte Justine Hospital. P.C. was supported by a senior investigator award from the Fonds de la Recherche du Qu?bec en Sant?. S.H.S. is supported through a Tier 1 CIHR Canada Research Chair in Addiction and Mental Health. M.T. is supported by Australian National Health and Medical Research Council Fellowship. We would like to thank the participants of the Coventure and CAP projects for making this study happen. Publisher Copyright: {\textcopyright} 2018 Society for the Study of Addiction",
year = "2019",
month = apr,
doi = "10.1111/add.14504",
language = "English",
volume = "114",
pages = "662--671",
journal = "Addiction",
issn = "0965-2140",
publisher = "Wiley-Blackwell",
number = "4",
}
