article Open AccessTop 1% cited
Attrition and generalizability in longitudinal studies: findings from a 15-year population-based study and a Monte Carlo simulation study
BMC Public Health · 2012 · Vol. 12(1) · pp. 918–918
Kristin Gustavson✉(Norwegian Institute of Public Health)Tilmann von Soest(University of Oslo)Evalill Karevold(Norwegian Institute of Public Health)Espen Røysamb(Norwegian Institute of Public Health)
Abstract
Long-term longitudinal studies are valuable for studying associations between risk/protective factors and health outcomes even considering substantial attrition rates.
Advanced Causal Inference TechniquesHealth disparities and outcomesFood Security and Health in Diverse PopulationsAttritionGeneralizability theoryBiostatisticsMedicineDemographyLongitudinal studyPopulationSample size determinationSelection biasConfounding
MeSH terms
AdultComputer SimulationFemaleFollow-Up StudiesHumansLongitudinal StudiesMonte Carlo MethodMothersPatient DropoutsRisk FactorsTime FactorsBias
Funding
- Norges Forskningsråd
Citations
642
FWCI
19.03
field-weighted impact
References
45
Percentile
100%
vs. same field & year
Citations per year
References
What's wrong with Bonferroni adjustments
BMJ · 1998 · 5,815 citations
How well can a few questionnaire items indicate anxiety and depression?
Acta Psychiatrica Scandinavica · 1993 · 447 citations
Statistical Power Analysis for the Behavioral Sciences
Technometrics · 1989 · 83,853 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.