ArticleAmerican journal of epidemiology2017
Alternative Approaches to Assessing Nonresponse Bias in Longitudinal Survey Estimates: An Application to Substance-Use Outcomes Among Young Adults in the United States.
Article in American journal of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed.
- Article
- The Protective Effects of Social Support on Hypertension Among African American Adolescents Exposed to Violence.Journal of interpersonal violence · 2022Article
- Contextualizing Evidence for Action on Diabetes in Low-Resource Settings-Project CEAD Part-II, Strengthening the Health System: A Mixed-Methods Study Protocol.International journal of environmental research and public health · 2021Article
- Contextualizing Evidence for Action on Diabetes in Low-Resource Settings-Project CEAD Part I: A Mixed-Methods Study Protocol.International journal of environmental research and public health · 2020Article
- Article
- How Collegiate Fraternity and Sorority Involvement Relates to Substance Use During Young Adulthood and Substance Use Disorders in Early Midlife: A National Longitudinal Study.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2018Article
- Implications of Attrition in a Longitudinal Web-Based Survey: An Examination of College Students Participating in a Tobacco Use Study.JMIR public health and surveillance · 2017Article
- Adolescents' Prescription Stimulant Use and Adult Functional Outcomes: A National Prospective Study.Journal of the American Academy of Child and Adolescent Psychiatry · 2017Article
- Article
- Successive Wave Analysis to Assess Nonresponse Bias in a Statewide Random Sample Testing Study for SARS-CoV-2.Journal of public health management and practice : JPHMPArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
We evaluated alternative approaches to assessing and correcting for nonresponse bias in a longitudinal survey. We considered the changes in substance-use outcomes over a 3-year period among young adults aged 18-24 years (n = 5,199) in the United States, analyzing data from the National Epidemiologic Survey on Alcohol and Related Conditions. This survey collected a variety of substance-use information from a nationally representative sample of US adults in 2 waves: 2001-2002 and 2004-2005. We first considered nonresponse rates in the second wave as a function of key substance-use outcomes in wave 1. We then evaluated 5 alternative approaches designed to correct for nonresponse bias under different attrition mechanisms, including weighting adjustments, multiple imputation, selection models, and pattern-mixture models. Nonignorable attrition in a longitudinal survey can lead to bias in estimates of change in certain health behaviors over time, and only selected procedures enable analysts to assess the sensitivity of their inferences to different assumptions about the extent of nonignorability. We compared estimates based on these 5 approaches, and we suggest a road map for assessing the risk of nonresponse bias in longitudinal studies. We conclude with directions for future research in this area given the results of our evaluations.
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