The data modeling process also gives every system access to a single source truth, ensuring accurate reporting on all levels, from analytics through visualization.

One approach to modeling clustered data introduces cluster-level random effects into the model. The use of random effects in linear models for normal responses is well established. By contrast, random ...

We review some of the work of the past ten years that applied the multi-level logit model. We attempt to provide a brief description of the hypothesis tested, the hierarchical data structure analyzed, ...

Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.

Extreme coastal sea levels more likely to occur, new data, advanced modeling techniques suggest Date: July 10, 2017 Source: University of Central Florida Summary: Improving projections for how ...

BMC Software's Doug Mueller cites the shortcomings of CMDBs and explains how a federated data model can overcome them.

The PRISSMM™ cancer data modeling system, enhanced by and licensed from Memorial Sloan Kettering Cancer Center (MSK), is a state-of-the-art data modeling system that allows users to curate clinical ...