Panel sampling in health research
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Buckley, Ralf
Hague, Leah
Fleming, Chris
Brough, Paula
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Abstract
In The Lancet Psychiatry, Matthias Pierce and colleagues1,2 identify the importance of sampling in studying mental health effects of COVID-19. We found that a mental health survey3 using a commercial panel (of approximately 20000 people) overrepresented mentally unhealthy respondents by approximately 2·5 times. This overrepresentation occurred despite multiple measures to ensure representativeness: prespecified demographic and geographical sampling quotas; post-collection checks on the distribution of socioeconomic parameters; and adjustments for mismatches between clinical psychological scores and use of health-care services. Further random subsampling, before analysis, was required to correct for this sampling bias.
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Lancet Psychiatry
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7
Issue
10
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© 2020 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
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Subject
Clinical sciences
Mental health services
Applied and developmental psychology
Clinical and health psychology
Science & Technology
Life Sciences & Biomedicine
Psychiatry
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Chauvenet, A; Buckley, R; Hague, L; Fleming, C; Brough, P, Panel sampling in health research, Lancet Psychiatry, 2020, 7 (10), pp. 840-841