Skip to main content
Top
Published in: Social Psychiatry and Psychiatric Epidemiology 1/2016

Open Access 01-01-2016 | Commentary (Invited)

The importance of post hoc approaches for overcoming non-response and attrition bias in population-sampled studies

Author: Linsay Gray

Published in: Social Psychiatry and Psychiatric Epidemiology | Issue 1/2016

Login to get access

Abstract

Population-based health studies are critical resources for monitoring population health and related factors such as substance use, but reliable inference can be compromised in various ways. Non-response and attrition are major methodological problems which reduce power and can hamper the generalizability of findings if individuals who participate and who remain in a study differ systematically from those who do not. In this issue of SPPE, McCabe et al. studied participants of the 2001–2002 National Epidemiologic Survey on Alcohol and Related Conditions, comparing attrition in Wave 2 across participants with different patterns of substance use at Wave 1. The implications of differential follow-up and further possibilities for addressing selective participation are discussed.
Literature
1.
go back to reference Little R, Rubin D (2002) Statistical analysis with missing data, 2nd edn. Wiley, Hoboken Little R, Rubin D (2002) Statistical analysis with missing data, 2nd edn. Wiley, Hoboken
2.
go back to reference Galea S, Tracy M (2007) Participation rates in epidemiologic studies. Ann Epidemiol 17(9):643–653CrossRefPubMed Galea S, Tracy M (2007) Participation rates in epidemiologic studies. Ann Epidemiol 17(9):643–653CrossRefPubMed
3.
go back to reference Panel on a Research Agenda for the Future of Social Science Data Collection, Committee on National Statistics, Committee on National Statistics, Division on Behavioral and Social Sciences and Education, Council NR (2013) Nonresponse in social science surveys: a research agenda. The National Academies Press, Washington, DC Panel on a Research Agenda for the Future of Social Science Data Collection, Committee on National Statistics, Committee on National Statistics, Division on Behavioral and Social Sciences and Education, Council NR (2013) Nonresponse in social science surveys: a research agenda. The National Academies Press, Washington, DC
4.
go back to reference Gorman E, Leyland AH, McCartney G, White IR, Katikireddi SV, Rutherford L, Graham L, Gray L (2014) Assessing the representativeness of population-sampled health surveys through linkage to administrative data on alcohol-related outcomes. Am J Epidemiol 180(9):941–948PubMedCentralCrossRefPubMed Gorman E, Leyland AH, McCartney G, White IR, Katikireddi SV, Rutherford L, Graham L, Gray L (2014) Assessing the representativeness of population-sampled health surveys through linkage to administrative data on alcohol-related outcomes. Am J Epidemiol 180(9):941–948PubMedCentralCrossRefPubMed
5.
go back to reference McCabe SE, West BT (2015) Selective nonresponse bias in population-based survey estimates of drug use behaviors in the United States. Soc Psychiatry Psychiatr Epidemiol. doi:10.1007/s00127-015-1122-2 McCabe SE, West BT (2015) Selective nonresponse bias in population-based survey estimates of drug use behaviors in the United States. Soc Psychiatry Psychiatr Epidemiol. doi:10.​1007/​s00127-015-1122-2
6.
go back to reference Christensen AI, Ekholm O, Gray L, Glümer C, Juel K (2015) What is wrong with non-respondents? Alcohol-, drug- and smoking-related mortality and morbidity in a 12-year follow-up study of respondents and non-respondents in the Danish health and morbidity survey. Addiction 110(9):1505–1512. doi:10.1111/add.12939 PubMedCentralCrossRefPubMed Christensen AI, Ekholm O, Gray L, Glümer C, Juel K (2015) What is wrong with non-respondents? Alcohol-, drug- and smoking-related mortality and morbidity in a 12-year follow-up study of respondents and non-respondents in the Danish health and morbidity survey. Addiction 110(9):1505–1512. doi:10.​1111/​add.​12939 PubMedCentralCrossRefPubMed
7.
go back to reference Ahern K, Le Brocque R (2005) Methodological issues in the effects of attrition: simple solutions for social scientists. Field Methods 17:53–69CrossRef Ahern K, Le Brocque R (2005) Methodological issues in the effects of attrition: simple solutions for social scientists. Field Methods 17:53–69CrossRef
9.
go back to reference der Wiel AB-v, van Exel E, de Craen AJM, Gussekloo J, Lagaay AM, Knook DL, Westendorp RGJ (2002) A high response is not essential to prevent selection bias: results from the Leiden 85-plus study. J Clin Epidemiol 55(11):1119–1125. doi:10.1016/S0895-4356(02)00505-X der Wiel AB-v, van Exel E, de Craen AJM, Gussekloo J, Lagaay AM, Knook DL, Westendorp RGJ (2002) A high response is not essential to prevent selection bias: results from the Leiden 85-plus study. J Clin Epidemiol 55(11):1119–1125. doi:10.​1016/​S0895-4356(02)00505-X
10.
go back to reference Gray L, McCartney G, White IR, Katikireddi SV, Rutherford L, Gorman E, Leyland AH (2013) Use of record-linkage to handle non-response and improve alcohol consumption estimates in health survey data: a study protocol. BMJ Open 3(3):e002647. doi:10.1136/bmjopen-2013-002647 Gray L, McCartney G, White IR, Katikireddi SV, Rutherford L, Gorman E, Leyland AH (2013) Use of record-linkage to handle non-response and improve alcohol consumption estimates in health survey data: a study protocol. BMJ Open 3(3):e002647. doi:10.​1136/​bmjopen-2013-002647
Metadata
Title
The importance of post hoc approaches for overcoming non-response and attrition bias in population-sampled studies
Author
Linsay Gray
Publication date
01-01-2016
Publisher
Springer Berlin Heidelberg
Published in
Social Psychiatry and Psychiatric Epidemiology / Issue 1/2016
Print ISSN: 0933-7954
Electronic ISSN: 1433-9285
DOI
https://doi.org/10.1007/s00127-015-1153-8

Other articles of this Issue 1/2016

Social Psychiatry and Psychiatric Epidemiology 1/2016 Go to the issue