Journal article
A prototype statistical advisory system for biomedical researchers II: Development of a statistical strategy
Computational statistics & data analysis, v 18(3), pp 357-369
1994
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The goal of a computerized statistical advisory system is to incorporate into software specific and sound advice on appropriately applying statistical techniques and interpreting their results for a given set of data. At the heart of such a system is the statistical strategy, the conceptual model used to represent the reasoning of an expert statistician. this paper presents our experience in developing a statistical strategy for a prototype knowledge-based advisory system. The statistical strategy was conceived in two stages. First, a hierarchical structure of decision trees at different levels of abstraction, together with rules for traversing the structure, was developed as a vehicle for eliciting the strategy from expert statisticians. In the second stage, the underlying objects and essential modes of decision-making implicitly incorporated in the decision-tree structure were extracted and a specific taxonomy for the problem was developed. A more general, object-oriented paradigm based on the results of this second stage was used to implement the prototype model. The statistical strategy was developed with a specific user audience in mind and focused on a well-defined subset of statistical techniques often used by that audience.
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Details
- Title
- A prototype statistical advisory system for biomedical researchers II: Development of a statistical strategy
- Creators
- Nira Herrmann - Drexel UniversityAbraham Silvers - Electric Power Research InstituteKatherine Godfrey - BBN TechnologiesBruce Roberts - BBN TechnologiesDaniel Cerys - BBN Technologies
- Publication Details
- Computational statistics & data analysis, v 18(3), pp 357-369
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:A1994PG98400005
- Scopus ID
- 2-s2.0-0542446577
- Other Identifier
- 991019173543504721
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Statistics & Probability