Cargando…
Modified reference based imputation and tipping point analysis in the presence of missing data due to COVID-19
In longitudinal clinical trials, missing data are inevitable due to intercurrent events (ICEs) such as treatment interruption or premature discontinuation for different reasons. The COVID-19 pandemic has had substantial impact on clinical trials since early 2020 as it may result in missing data due...
Autores principales: | Jin, Man, Liu, Ran, Robieson, Weining |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479366/ https://www.ncbi.nlm.nih.gov/pubmed/34597836 http://dx.doi.org/10.1016/j.cct.2021.106575 |
Ejemplares similares
-
Efficiency of multiple imputation to test for association in the presence of missing data
por: Croiseau, Pascal, et al.
Publicado: (2007) -
Multiple Imputation for General Missing Data Patterns in the Presence of High-dimensional Data
por: Deng, Yi, et al.
Publicado: (2016) -
Flexible imputation of missing data
por: van Buuren, Stef
Publicado: (2018) -
Missing Data and Imputation Methods
por: Schober, Patrick, et al.
Publicado: (2020) -
A causal modelling framework for reference-based imputation and tipping point analysis in clinical trials with quantitative outcome
por: White, Ian R., et al.
Publicado: (2019)