A Heuristic Bayesian Approach to Knowledge Acquisition: Application to Analysis of Tissue-Type Plasminogen Activator
This addresses the need for accessible statistical methods in medical technology assessment, but it appears incremental as it builds upon existing Bayesian and influence diagram techniques.
The paper tackled the problem of computing probability distributions from experimental data in medical technology assessment, resulting in a method that facilitates integration of results from different studies and allows medical experts to make assessments without extensive statistical training.
This paper describes a heuristic Bayesian method for computing probability distributions from experimental data, based upon the multivariate normal form of the influence diagram. An example illustrates its use in medical technology assessment. This approach facilitates the integration of results from different studies, and permits a medical expert to make proper assessments without considerable statistical training.