Cargando…
Meta‐analysis of test accuracy studies using imputation for partial reporting of multiple thresholds
INTRODUCTION: For tests reporting continuous results, primary studies usually provide test performance at multiple but often different thresholds. This creates missing data when performing a meta‐analysis at each threshold. A standard meta‐analysis (no imputation [NI]) ignores such missing data. A s...
Autores principales: | Ensor, J., Deeks, J.J., Martin, E.C., Riley, R.D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5873416/ https://www.ncbi.nlm.nih.gov/pubmed/29052347 http://dx.doi.org/10.1002/jrsm.1276 |
Ejemplares similares
-
Meta-analysis of test accuracy studies: an exploratory method for investigating the impact of missing thresholds
por: Riley, Richard D, et al.
Publicado: (2015) -
Modelling multiple thresholds in meta-analysis of diagnostic test accuracy studies
por: Steinhauser, Susanne, et al.
Publicado: (2016) -
Performance of methods for meta-analysis of diagnostic test accuracy with few studies or sparse data
por: Takwoingi, Yemisi, et al.
Publicado: (2015) -
Meta-analysis of diagnostic test accuracy studies with multiple thresholds for data integration
por: Shim, Sung Ryul
Publicado: (2022) -
Meta-analysis of diagnostic accuracy studies in mental health
por: Takwoingi, Yemisi, et al.
Publicado: (2015)