Cargando…
A Robust Effect Size Index
Effect size indices are useful tools in study design and reporting because they are unitless measures of association strength that do not depend on sample size. Existing effect size indices are developed for particular parametric models or population parameters. Here, we propose a robust effect size...
Autores principales: | Vandekar, Simon, Tao, Ran, Blume, Jeffrey |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7186256/ https://www.ncbi.nlm.nih.gov/pubmed/32232646 http://dx.doi.org/10.1007/s11336-020-09698-2 |
Ejemplares similares
-
Accurate Confidence and Bayesian Interval Estimation for Non-centrality Parameters and Effect Size Indices
por: Kang, Kaidi, et al.
Publicado: (2023) -
Sample Size Determination for Interval Estimation of the Prevalence of a Sensitive Attribute Under Randomized Response Models
por: Qiu, Shi-Fang, et al.
Publicado: (2022) -
Size matters: just how big is BIG?: Quantifying realistic sample size requirements for human genome epidemiology
por: Burton, Paul R, et al.
Publicado: (2009) -
Power Analysis and Sample Size Planning in ANCOVA Designs
por: Shieh, Gwowen
Publicado: (2019) -
Construction of an adaptable European transnational ecological deprivation index: the French version
por: Pornet, Carole, et al.
Publicado: (2012)