Cargando…
When does attrition lead to biased estimates of alcohol consumption? Bias analysis for loss to follow‐up in 30 longitudinal cohorts
OBJECTIVES: Survey nonresponse has increased across decades, making the amount of attrition a focus in generating inferences from longitudinal data. Use of inverse probability weights [IPWs] and other statistical approaches are common, but residual bias remains a threat. Quantitative bias analysis f...
Autores principales: | Keyes, Katherine M., Jager, Justin, Platt, Jonathan, Rutherford, Caroline, Patrick, Megan E., Kloska, Deborah D., Schulenberg, John |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7723204/ https://www.ncbi.nlm.nih.gov/pubmed/32656917 http://dx.doi.org/10.1002/mpr.1842 |
Ejemplares similares
-
Cohort effects on gender differences in alcohol use in the United States: How much is explained by changing attitudes towards women and gendered roles?
por: Keyes, Katherine M., et al.
Publicado: (2021) -
An empirical evaluation of alternative approaches to adjusting for attrition when analyzing longitudinal survey data on young adults' substance use trajectories
por: Si, Yajuan, et al.
Publicado: (2022) -
Selective attrition and bias in a longitudinal health survey among survivors of a disaster
por: van den Berg, Bellis, et al.
Publicado: (2007) -
Posttreatment Attrition and Its Predictors, Attrition Bias, and Treatment Efficacy of the Anxiety Online Programs
por: AL-Asadi, Ali M, et al.
Publicado: (2014) -
Developing non-response weights to account for attrition-related bias in a longitudinal pregnancy cohort.
por: Pitt, Tona, et al.
Publicado: (2022)