Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Lauryn J. Hagg"'
Autor:
Danielle Amiet, George J. Youssef, Lauryn J. Hagg, Valentina Lorenzetti, Linden Parkes, Nadia Solowij, Murat Yücel
Publikováno v:
Frontiers in Psychiatry, Vol 11 (2020)
Background: Young adults regularly using cannabis represent a uniquely vulnerable yet heterogeneous cohort. Few studies have examined user profiles using cannabis use motives and expectations. The association between user profiles and psychosocial fu
Externí odkaz:
https://doaj.org/article/3f614014b7ff458bada94cf13e288f4b
Autor:
Lauryn J Hagg, Stephanie S Merkouris, Gypsy A O’Dea, Lauren M Francis, Christopher J Greenwood, Matthew Fuller-Tyszkiewicz, Elizabeth M Westrupp, Jacqui A Macdonald, George J Youssef
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 11, p e33166 (2022)
BackgroundTopic modeling approaches allow researchers to analyze and represent written texts. One of the commonly used approaches in psychology is latent Dirichlet allocation (LDA), which is used for rapidly synthesizing patterns of text within “bi
Externí odkaz:
https://doaj.org/article/9d48bd9840e14c0581b8d480f77a4b7d
Autor:
Lauryn J Hagg, George J. Youssef, Matthew Fuller-Tyszkiewicz, Tomer S. Berkowitz, Elizabeth M. Westrupp, Christopher J Greenwood
Publikováno v:
PLoS ONE
PLoS ONE, Vol 17, Iss 2, p e0262529 (2022)
PLoS ONE, Vol 17, Iss 2, p e0262529 (2022)
Background: Parenting interventions offer an evidence-based method for the prevention and early intervention of child mental health problems, but to-date their population-level effectiveness has been limited by poor reach and engagement, particularly
Autor:
Jennifer McIntosh, Lauryn J Hagg, George J. Youssef, Ann Sanson, Delyse Hutchinson, Christopher J Greenwood, Jacqueline A Macdonald, Primrose Letcher, Elizabeth Spry, Craig A. Olsson, Kim Betts, John W. Toumbourou
Publikováno v:
Drug and Alcohol Dependence. 201:58-64
Background Modelling trajectories of substance use over time is complex and requires judicious choices from a number of modelling approaches. In this study we examine the relative strengths and weakness of latent curve models (LCM), growth mixture mo
Autor:
Christopher J Greenwood, John W. Toumbourou, Jacqueline A Macdonald, Primrose Letcher, Jennifer McIntosh, Ann Sanson, Delyse Hutchinson, Craig A. Olsson, K.C. Thomson, Lauryn J Hagg, George J. Youssef, Elizabeth Spry
Publikováno v:
Addictive Behaviors. 112:106597
Aims To explore the process of applying counterfactual thinking in examining causal determinants of substance use trajectories in observational cohort data. Specifically, we examine the extent to which quality of the parent-adolescent relationship an
Autor:
Craig A. Olsson, Ann Sanson, Primrose Letcher, Christopher J Greenwood, Delyse Hutchinson, Matthew Fuller-Tyszkiewicz, Jacqui A. Macdonald, Lauryn J Hagg, George J. Youssef, John W. Toumbourou, Jenn Mcintosh
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 11, p e0242730 (2020)
PLoS ONE, Vol 15, Iss 11, p e0242730 (2020)
Background Penalised regression methods are a useful atheoretical approach for both developing predictive models and selecting key indicators within an often substantially larger pool of available indicators. In comparison to traditional methods, pen
Autor:
Kim Betts, Jacqui A. Macdonald, Primrose Letcher, Lauryn J Hagg, George J. Youssef, John W. Toumbourou, Delyse Hutchinson, Christopher J Greenwood, Craig A. Olsson, Jenn Mcintosh, Elizabeth Spry, Ann Sanson
Background: Modelling trajectories of substance use over time is complex and requires judicious choices from a number of modelling approaches. In this study we examine the relative strengths and weakness of latent curve models (LCM), growth mixture m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c33758f881d8d874a9938ba0d7c43226
https://doi.org/10.31234/osf.io/ktvzw
https://doi.org/10.31234/osf.io/ktvzw
Autor:
Christopher J Greenwood, George J Youssef, Primrose Letcher, Jacqui A Macdonald, Lauryn J Hagg, Ann Sanson, Jenn Mcintosh, Delyse M Hutchinson, John W Toumbourou, Matthew Fuller-Tyszkiewicz, Craig A Olsson
Publikováno v:
PLoS ONE, Vol 15, Iss 11, p e0242730 (2020)
BackgroundPenalised regression methods are a useful atheoretical approach for both developing predictive models and selecting key indicators within an often substantially larger pool of available indicators. In comparison to traditional methods, pena
Externí odkaz:
https://doaj.org/article/528d9c4f037244028c8b68639d5dec87