Koukounari, A;
Copas, AJ;
Pickles, A;
(2019)
A latent variable modelling approach for the pooled analysis of individual participant data on the association between depression and chlamydia infection in adolescence and young adulthood in the UK.
Journal of the Royal Statistical Society: Series A (Statistics in Society)
, 182
(1)
pp. 101-130.
10.1111/rssa.12387.
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Abstract
Despite the increasing evidence of association between chlamydia infection and depression, currently there is a paucity of research with limited scope to understand better the temporal nature of the relationship between them. We consider this problem in adolescence and young adulthood by pooled analysis of 7250 participants from the Avon Longitudinal Study of Parents and Children and the third National Survey of Sexual Attitudes and Lifestyles. We propose a latent variable modelling approach which can handle harmonization of categorical variables including ordinal measures from the two studies as well as measurement error and time trends.
Type: | Article |
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Title: | A latent variable modelling approach for the pooled analysis of individual participant data on the association between depression and chlamydia infection in adolescence and young adulthood in the UK |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1111/rssa.12387 |
Publisher version: | https://doi.org/10.1111/rssa.12387 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Avon Longitudinal Study of Parents and Children, Chlamydia, Depression, Latent variable models, Pooled analysis, Third National Survey of Sexual Attitudes and Lifestyles |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute for Global Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute for Global Health > Infection and Population Health |
URI: | https://discovery.ucl.ac.uk/id/eprint/10098788 |
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