Cargando…
Estimating interactions and subgroup‐specific treatment effects in meta‐analysis without aggregation bias: A within‐trial framework
Estimation of within‐trial interactions in meta‐analysis is crucial for reliable assessment of how treatment effects vary across participant subgroups. However, current methods have various limitations. Patients, clinicians and policy‐makers need reliable estimates of treatment effects within specif...
Autores principales: | Godolphin, Peter J., White, Ian R., Tierney, Jayne F., Fisher, David J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10087172/ https://www.ncbi.nlm.nih.gov/pubmed/35833636 http://dx.doi.org/10.1002/jrsm.1590 |
Ejemplares similares
-
A framework for prospective, adaptive meta-analysis (FAME) of aggregate data from randomised trials
por: Tierney, Jayne F., et al.
Publicado: (2021) -
Comparison of aggregate and individual participant data approaches to meta-analysis of randomised trials: An observational study
por: Tierney, Jayne F., et al.
Publicado: (2020) -
Within-Epitope Interactions Can Bias CTL Escape Estimation in Early HIV Infection
por: Garcia, Victor, et al.
Publicado: (2017) -
A framework for identifying treatment‐covariate interactions in individual participant data network meta‐analysis
por: Freeman, S. C., et al.
Publicado: (2018) -
Psychotic-like experiences in non-clinical subgroups with and without specific beliefs
por: Hinterbuchinger, B., et al.
Publicado: (2023)