Cargando…
A Note on Cherry-Picking in Meta-Analyses
We study selection bias in meta-analyses by assuming the presence of researchers (meta-analysts) who intentionally or unintentionally cherry-pick a subset of studies by defining arbitrary inclusion and/or exclusion criteria that will lead to their desired results. When the number of studies is suffi...
Autores principales: | Yoneoka, Daisuke, Rieck, Bastian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138056/ https://www.ncbi.nlm.nih.gov/pubmed/37190479 http://dx.doi.org/10.3390/e25040691 |
Ejemplares similares
-
Cherry-picking the Wrong Patients?
por: Fiehler, Jens, et al.
Publicado: (2020) -
Correction to: Cherry-picking the Wrong Patients?
por: Fiehler, Jens, et al.
Publicado: (2021) -
Combining Networks Using Cherry Picking Sequences
por: Janssen, Remie, et al.
Publicado: (2020) -
Constructing phylogenetic networks via cherry picking and machine learning
por: Bernardini, Giulia, et al.
Publicado: (2023) -
Cherry-Picking from Spaghetti: Multi-range Filtering of Event Logs
por: Vidgof, Maxim, et al.
Publicado: (2020)