As modeling becomes a more widespread practice in the life sciences and biomedical sciences, researchers need reliable tools to calibrate models against ever more complex and detailed data.

The core of the Python data model architecture is special methods (also known as "magic methods"). These methods, which start ...

This data model (i.e. "schema design,") is useful for developing applications around any restricted resource system, not just e-commerce systems.

Augmenting Real-World Data Through Modeling Key Clinical Trial Eligibility Criteria: An Example of Patients With Non–small-Cell Lung Cancer Treated With Pembrolizumab ...

Large-scale surveys using complex sample designs are frequently carried out by government agencies. The statistical analysis technology available for such data is, however, limited in scope. This ...

This white paper by industry expert Alec Sharp illustrates these points and provides specific guidelines and techniques for a business-oriented approach to data modeling. Examples demonstrate how ...

Emanuel Parzen, Quantile Probability and Statistical Data Modeling, Statistical Science, Vol. 19, No. 4 (Nov., 2004), pp. 652-662 ...

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