Cargando…
Bias of time‐varying exposure effects due to time‐varying covariate measurement strategies
PURPOSE: In studies of effects of time‐varying drug exposures, adequate adjustment for time‐varying covariates is often necessary to properly control for confounding. However, the granularity of the available covariate data may not be sufficiently fine, for example when covariates are measured for p...
Autores principales: | Penning de Vries, Bas B. L., Groenwold, Rolf H. H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9292390/ https://www.ncbi.nlm.nih.gov/pubmed/34251702 http://dx.doi.org/10.1002/pds.5328 |
Ejemplares similares
-
Using Time-Varying Covariates in Multilevel Growth Models
por: McCoach, D. Betsy, et al.
Publicado: (2010) -
Bayesian imputation of time-varying covariates in linear mixed
models
por: Erler, Nicole S, et al.
Publicado: (2017) -
Multiple imputation in Cox regression when there are time‐varying effects of covariates
por: Keogh, Ruth H., et al.
Publicado: (2018) -
Bayesian analysis for partly linear Cox model with measurement error and time‐varying covariate effect
por: Pan, Anqi, et al.
Publicado: (2022) -
Generating survival times to simulate Cox proportional hazards models with time-varying covariates
por: Austin, Peter C
Publicado: (2012)