SAS profile correlations reveal SAS hierarchical nature and information content

SAS profile correlations reveal SAS hierarchical nature and information content

In structural biology, Small-Angle Scattering experiments (SAS) are unique, because although they provide low resolution data, they can be performed in closer-to-native conditions than those arising in X-Ray crystallography. A number of questions on SAS, however, remain unsolved, particularly in the light of modelling ensembles of conformers in solution. In this article, we study the ensemble a...

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Hierarchical Logistic Regression Modeling with SAS GLIMMIX

Data often have hierarchical or clustered structures, such as patients clustered within hospitals or students nested within schools. Hierarchical models are statistical models that are used to analyze hierarchical or multilevel data. SAS GLIMMIX procedure is a new and highly useful tool for hierarchical modeling with discrete responses. This paper is focused on hierarchical logistic regression ...

SAS/OR®: Introducing SAS® Simulation Studio

Discrete event simulation is used to model, study, plan, and improve systems in which random events play a dominant role. These systems are often driven by complicated mathematical and logical relationships, making it impossible to derive an analytical solution. The journal OR/MS Today cites simulation software as one of the most widely used tools in operations research, due in part to its appl...

Testing for linkage disequilibrium using SAS/GENETICS and SAS/STAT

Testing for the presence of linkage disequilibrium (LD) and measuring its value is important in statistical genetics. LD deals with the correlation of genetic variation at two or more loci in the genome within a given population. PROC ALLELE in SAS/GENETICS provides a variety of pair-wise LD measures that are related to the well-known Pearson correlation r. Different statistical tests of linkag...