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

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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.

In: British Journal of Psychiatry, Vol. 195, 09.2009, p. 249 - 256.

Research output: Contribution to journalArticle

Harvard

Wolke, D, Waylen, A, Samara, M, Steer, C, Goodman, R, Ford, T & Lamberts, K 2009, 'Selective drop-out in longitudinal studies and non-biased prediction of behaviour disorders', British Journal of Psychiatry, vol. 195, pp. 249 - 256. https://doi.org/10.1192/bjp.bp.108.053751

APA

Wolke, D., Waylen, A., Samara, M., Steer, C., Goodman, R., Ford, T., & Lamberts, K. (2009). Selective drop-out in longitudinal studies and non-biased prediction of behaviour disorders. British Journal of Psychiatry, 195, 249 - 256. https://doi.org/10.1192/bjp.bp.108.053751

Vancouver

Wolke D, Waylen A, Samara M, Steer C, Goodman R, Ford T et al. Selective drop-out in longitudinal studies and non-biased prediction of behaviour disorders. British Journal of Psychiatry. 2009 Sep;195:249 - 256. https://doi.org/10.1192/bjp.bp.108.053751

Author

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. In: British Journal of Psychiatry. 2009 ; Vol. 195. pp. 249 - 256.

Bibtex

@article{3de437e65645431c9dff79118d5649a5,
title = "Selective drop-out in longitudinal studies and non-biased prediction of behaviour disorders",
abstract = "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.",
author = "Dieter Wolke and Andrea Waylen and Muthanna Samara and Colin Steer and Robert Goodman and Tamsin Ford and Koen Lamberts",
year = "2009",
month = "9",
doi = "10.1192/bjp.bp.108.053751",
language = "English",
volume = "195",
pages = "249 -- 256",
journal = "British Journal of Psychiatry",
issn = "0007-1250",
publisher = "Royal College of Psychiatrists",

}

RIS - suitable for import to EndNote

TY - JOUR

T1 - Selective drop-out in longitudinal studies and non-biased prediction of behaviour disorders

AU - Wolke, Dieter

AU - Waylen, Andrea

AU - Samara, Muthanna

AU - Steer, Colin

AU - Goodman, Robert

AU - Ford, Tamsin

AU - Lamberts, Koen

PY - 2009/9

Y1 - 2009/9

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-70349096380&partnerID=8YFLogxK

U2 - 10.1192/bjp.bp.108.053751

DO - 10.1192/bjp.bp.108.053751

M3 - Article

C2 - 19721116

VL - 195

SP - 249

EP - 256

JO - British Journal of Psychiatry

JF - British Journal of Psychiatry

SN - 0007-1250

ER -