Hierarchical models provide reliable statistical estimates for data sets from high-throughput experiments where measurements vastly outnumber experimental samples.

Background: Variable adherence to assigned conditions is common in randomized clinical trials. Objectives: A generalized modeling framework under longitudinal data structures is proposed for ...

Hierarchical data model generation during IP verification: During IP-level CDC verification, a data model is generated along with CDC results. This HDM contains all the necessary information about the ...

Storage systems that are built around a hierarchical model will more easily accept XML data and will do so without having to perform relational and indexing gymnastics as they would with a ...

Data modeling best practices give structure and direction to an organization's data. Read more about data modeling now.

In this paper, we describe the hierarchical data model (HDM), which is a performance efficient alternative to the traditional flat CDC verification flow. The HDM is equivalent to an abstract CDC model ...

Michael Hout, Robert M. Hauser, Symmetry and Hierarchy in Social Mobility: A Methodological Analysis of the CASMIN Model of Class Mobility, European Sociological Review, Vol. 8, No. 3, Special Edition ...