System-wide measurements of gene expression by DNA microarray and, more recently, RNA-sequencing strategies have become de facto tools of modern biology and have led to deep understanding of ...

The approach of generalized estimating equations (GEE) is based on the framework of generalized linear models but allows for specification of a working matrix for modeling within-subject correlations.

The standard model for the analysis of variance is over-parameterized. The resulting identifiability problem is typically solved by placing linear constraints on the parameters. In the case of the ...

Kaplan, Robert S., and Susanna Gallani. "Variance Analysis: New Insights from Health Care Applications." Issues in Accounting Education 37, no. 2 (May 2022): 27–36.

Please note: This item is from our archives and was published in 2012. It is provided for historical reference. The content may be out of date and links may no longer function. In his article ...

Part I: The analysis of variance in the case of models with fixed effects and independent observations of equal variance -- Point estimation -- Construction of confidence ellipsoids and tests in the ...

If you are searching for ways to transform your Excel monthly tasks into a more streamlined, effortless process, you might be interested in a new tutorial created by the team at Excel Off The Grid. If ...