Cargando…
Why we should use simpler models if the data allow this: relevance for ANOVA designs in experimental biology
BACKGROUND: Analysis of variance (ANOVA) is a common statistical technique in physiological research, and often one or more of the independent/predictor variables such as dose, time, or age, can be treated as a continuous, rather than a categorical variable during analysis – even if subjects were ra...
Autor principal: | Lazic, Stanley E |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2496911/ https://www.ncbi.nlm.nih.gov/pubmed/18644134 http://dx.doi.org/10.1186/1472-6793-8-16 |
Ejemplares similares
-
Experimental design, ANOVA, and regression /
por: Damon, Richard A.
Publicado: (1987) -
Why we need to report more than 'Data were Analyzed by t-tests or ANOVA'
por: Weissgerber, Tracey L, et al.
Publicado: (2018) -
Identification of differentially expressed subnetworks based on multivariate ANOVA
por: Hwang, Taeyoung, et al.
Publicado: (2009) -
Tape-Arabidopsis Sandwich - a simpler Arabidopsis protoplast isolation method
por: Wu, Fu-Hui, et al.
Publicado: (2009) -
Comparison of Multivariate ANOVA-Based Approaches for the Determination of Relevant Variables in Experimentally Designed Metabolomic Studies
por: Pérez-Cova, Miriam, et al.
Publicado: (2022)