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Selective drop-out in longitudinal studies and non-biased prediction of behaviour disorders

Background Participant drop-out occurs in all longitudinal studies, and if systematic, may lead to selection biases and erroneous conclusions being drawn from a study. Aims We investigated whether drop out in the Avon Longitudinal Study of Parents And Children (ALSPAC) was systematic or random, and...

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Autores principales: Wolke, Dieter, Waylen, Andrea, Samara, Muthanna, Steer, Colin, Goodman, Robert, Ford, Tamsin, Lamberts, Koen
Formato: Texto
Lenguaje:English
Publicado: Royal College Of Psychiatrists 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2802508/
https://www.ncbi.nlm.nih.gov/pubmed/19721116
http://dx.doi.org/10.1192/bjp.bp.108.053751
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author Wolke, Dieter
Waylen, Andrea
Samara, Muthanna
Steer, Colin
Goodman, Robert
Ford, Tamsin
Lamberts, Koen
author_facet Wolke, Dieter
Waylen, Andrea
Samara, Muthanna
Steer, Colin
Goodman, Robert
Ford, Tamsin
Lamberts, Koen
author_sort Wolke, Dieter
collection PubMed
description Background Participant drop-out occurs in all longitudinal studies, and if systematic, may lead to selection biases and erroneous conclusions being drawn from a study. Aims We investigated whether drop out in the Avon Longitudinal Study of Parents And Children (ALSPAC) was systematic or random, and if systematic, whether it had an impact on the prediction of disruptive behaviour disorders. Method Teacher reports of disruptive behaviour among currently participating, previously participating and never participating children aged 8 years in the ALSPAC longitudinal study were collected. Data on family factors were obtained in pregnancy. Simulations were conducted to explain the impact of selective drop-out on the strength of prediction. Results Drop out from the ALSPAC cohort was systematic and children who dropped out were more likely to suffer from disruptive behaviour disorder. Systematic participant drop-out according to the family variables, however, did not alter the association between family factors obtained in pregnancy and disruptive behaviour disorder at 8 years of age. Conclusions Cohort studies are prone to selective drop-out and are likely to underestimate the prevalence of psychiatric disorder. This empirical study and the simulations confirm that the validity of regression models is only marginally affected despite range restrictions after selective drop-out.
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spelling pubmed-28025082010-04-15 Selective drop-out in longitudinal studies and non-biased prediction of behaviour disorders Wolke, Dieter Waylen, Andrea Samara, Muthanna Steer, Colin Goodman, Robert Ford, Tamsin Lamberts, Koen Br J Psychiatry Papers Background Participant drop-out occurs in all longitudinal studies, and if systematic, may lead to selection biases and erroneous conclusions being drawn from a study. Aims We investigated whether drop out in the Avon Longitudinal Study of Parents And Children (ALSPAC) was systematic or random, and if systematic, whether it had an impact on the prediction of disruptive behaviour disorders. Method Teacher reports of disruptive behaviour among currently participating, previously participating and never participating children aged 8 years in the ALSPAC longitudinal study were collected. Data on family factors were obtained in pregnancy. Simulations were conducted to explain the impact of selective drop-out on the strength of prediction. Results Drop out from the ALSPAC cohort was systematic and children who dropped out were more likely to suffer from disruptive behaviour disorder. Systematic participant drop-out according to the family variables, however, did not alter the association between family factors obtained in pregnancy and disruptive behaviour disorder at 8 years of age. Conclusions Cohort studies are prone to selective drop-out and are likely to underestimate the prevalence of psychiatric disorder. This empirical study and the simulations confirm that the validity of regression models is only marginally affected despite range restrictions after selective drop-out. Royal College Of Psychiatrists 2009-09 /pmc/articles/PMC2802508/ /pubmed/19721116 http://dx.doi.org/10.1192/bjp.bp.108.053751 Text en Royal College of Psychiatrists This paper accords with the Wellcome Trust Open Access policy and is governed by the licence available at http://www.rcpsych.ac.uk/pdf/Wellcome%20Trust%20licence.pdf
spellingShingle Papers
Wolke, Dieter
Waylen, Andrea
Samara, Muthanna
Steer, Colin
Goodman, Robert
Ford, Tamsin
Lamberts, Koen
Selective drop-out in longitudinal studies and non-biased prediction of behaviour disorders
title Selective drop-out in longitudinal studies and non-biased prediction of behaviour disorders
title_full Selective drop-out in longitudinal studies and non-biased prediction of behaviour disorders
title_fullStr Selective drop-out in longitudinal studies and non-biased prediction of behaviour disorders
title_full_unstemmed Selective drop-out in longitudinal studies and non-biased prediction of behaviour disorders
title_short Selective drop-out in longitudinal studies and non-biased prediction of behaviour disorders
title_sort selective drop-out in longitudinal studies and non-biased prediction of behaviour disorders
topic Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2802508/
https://www.ncbi.nlm.nih.gov/pubmed/19721116
http://dx.doi.org/10.1192/bjp.bp.108.053751
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