Cargando…
A review of the reporting and handling of missing data in cohort studies with repeated assessment of exposure measures
BACKGROUND: Retaining participants in cohort studies with multiple follow-up waves is difficult. Commonly, researchers are faced with the problem of missing data, which may introduce biased results as well as a loss of statistical power and precision. The STROBE guidelines von Elm et al. (Lancet, 37...
Autores principales: | Karahalios, Amalia, Baglietto, Laura, Carlin, John B, English, Dallas R, Simpson, Julie A |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3464662/ https://www.ncbi.nlm.nih.gov/pubmed/22784200 http://dx.doi.org/10.1186/1471-2288-12-96 |
Ejemplares similares
-
The impact of missing data on analyses of a time-dependent exposure in a longitudinal cohort: a simulation study
por: Karahalios, Amalia, et al.
Publicado: (2013) -
Change in Body Size and Mortality: Results from the Melbourne Collaborative Cohort Study
por: Karahalios, Amalia, et al.
Publicado: (2014) -
Change in weight and waist circumference and risk of colorectal cancer: results from the Melbourne Collaborative Cohort Study
por: Karahalios, Amalia, et al.
Publicado: (2016) -
Handling of missing data with multiple imputation in observational studies that address causal questions: protocol for a scoping review
por: Mainzer, Rheanna, et al.
Publicado: (2023) -
A comparison of methods to estimate the survivor average causal effect in the presence of missing data: a simulation study
por: McGuinness, Myra B., et al.
Publicado: (2019)