Cargando…
A simulation study of sample size for multilevel logistic regression models
BACKGROUND: Many studies conducted in health and social sciences collect individual level data as outcome measures. Usually, such data have a hierarchical structure, with patients clustered within physicians, and physicians clustered within practices. Large survey data, including national surveys, h...
Autores principales: | Moineddin, Rahim, Matheson, Flora I, Glazier, Richard H |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1955447/ https://www.ncbi.nlm.nih.gov/pubmed/17634107 http://dx.doi.org/10.1186/1471-2288-7-34 |
Ejemplares similares
-
Sample size issues in multilevel logistic regression models
por: Ali, Amjad, et al.
Publicado: (2019) -
Sufficient Sample Size and Power in Multilevel Ordinal Logistic Regression Models
por: Ali, Sabz, et al.
Publicado: (2016) -
A simulation study for evaluating the performance of clustering measures in multilevel logistic regression
por: Adam, Nicholas Siame, et al.
Publicado: (2021) -
Bias in odds ratios by logistic regression modelling and sample size
por: Nemes, Szilard, et al.
Publicado: (2009) -
A Monte Carlo simulation study comparing linear regression, beta regression, variable-dispersion beta regression and fractional logit regression at recovering average difference measures in a two sample design
por: Meaney, Christopher, et al.
Publicado: (2014)