Commentary on Afzali et al. (2019): Two data sets are better than one

dc.contributor.author	Whelan, Robert
dc.date.accessioned	2019-09-18T07:00:14Z
dc.date.available	2019-09-18T07:00:14Z
dc.date.issued	2019
dc.date.submitted	2019	en
dc.identifier.citation	Whelan, R., Commentary on Afzali et al. (2019): Two data sets are better than one, Addiction, 2019, 114, 4, 672-673	en
dc.identifier.other	Y
dc.description.abstract	The use of large data sets in addiction research iswelcome, because statistical power is increased. Whenapplied to large data sets, machine learning can help withinterpreting variable importance and with quantifyingreproducibility. However, application of machine learningin the real world requires consideration of several factors,such as economic cost.	en
dc.format.extent	672-673	en
dc.language.iso	en	en
dc.publisher	Society for the Study of Addiction	en
dc.relation.ispartofseries	Addiction;
dc.relation.ispartofseries	114;
dc.relation.ispartofseries	4;
dc.rights	Y	en
dc.subject	Addiction	en
dc.subject	Adolescence	en
dc.subject	Alcohol	en
dc.subject	Machine learning	en
dc.subject	Reproducibility	en
dc.subject	Team science	en
dc.title	Commentary on Afzali et al. (2019): Two data sets are better than one	en
dc.type	Journal Article	en
dc.type.supercollection	scholarly_publications	en
dc.type.supercollection	refereed_publications	en
dc.identifier.peoplefinderurl	http://people.tcd.ie/whelanr3
dc.identifier.rssinternalid	205812
dc.identifier.doi	http://dx.doi.org/10.1111/add.14574
dc.rights.ecaccessrights	openAccess
dc.identifier.orcid_id	0000-0002-2790-7281
dc.identifier.uri	http://hdl.handle.net/2262/89514

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