Cargando…
Attrition and generalizability in longitudinal studies: findings from a 15-year population-based study and a Monte Carlo simulation study
BACKGROUND: Attrition is one of the major methodological problems in longitudinal studies. It can deteriorate generalizability of findings if participants who stay in a study differ from those who drop out. The aim of this study was to examine the degree to which attrition leads to biased estimates...
Autores principales: | Gustavson, Kristin, von Soest, Tilmann, Karevold, Evalill, Røysamb, Espen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3503744/ https://www.ncbi.nlm.nih.gov/pubmed/23107281 http://dx.doi.org/10.1186/1471-2458-12-918 |
Ejemplares similares
-
Preventing bias from selective non-response in population-based survey studies: findings from a Monte Carlo simulation study
por: Gustavson, Kristin, et al.
Publicado: (2019) -
Long shadows: a prospective study of predictors of relationship dissolution over 17 child-rearing years
por: Helland, Maren S, et al.
Publicado: (2014) -
Bias in the study of prediction of change: a Monte Carlo simulation study of the effects of selective attrition and inappropriate modeling of regression toward the mean
por: Gustavson, Kristin, et al.
Publicado: (2014) -
The Impact of Smoking in Adolescence on Early Adult Anxiety Symptoms and the Relationship between Infant Vulnerability Factors for Anxiety and Early Adult Anxiety Symptoms: The TOPP Study
por: Moylan, Steven, et al.
Publicado: (2013) -
The impact of maternal smoking during pregnancy on depressive and anxiety behaviors in children: the Norwegian Mother and Child Cohort Study
por: Moylan, Steven, et al.
Publicado: (2015)