A Heuristic Bayesian Approach to Knowledge Acquisition: Application to Analysis of Tissue-Type Plasminogen Activator
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Shachter, RD; Eddy, DM; Hasselblad, V; Wolpert, R
March 27, 2013
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.
Duke Scholars
Publication Date
March 27, 2013
Citation
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Shachter, R. D., Eddy, D. M., Hasselblad, V., & Wolpert, R. (2013). A Heuristic Bayesian Approach to Knowledge Acquisition: Application to
Analysis of Tissue-Type Plasminogen Activator.
Shachter, Ross D., David M. Eddy, Vic Hasselblad, and Robert Wolpert. “A Heuristic Bayesian Approach to Knowledge Acquisition: Application to
Analysis of Tissue-Type Plasminogen Activator,” 2013.
Shachter RD, Eddy DM, Hasselblad V, Wolpert R. A Heuristic Bayesian Approach to Knowledge Acquisition: Application to
Analysis of Tissue-Type Plasminogen Activator. In 2013.
Shachter, Ross D., et al. A Heuristic Bayesian Approach to Knowledge Acquisition: Application to
Analysis of Tissue-Type Plasminogen Activator. 2013.
Shachter RD, Eddy DM, Hasselblad V, Wolpert R. A Heuristic Bayesian Approach to Knowledge Acquisition: Application to
Analysis of Tissue-Type Plasminogen Activator. 2013.
Publication Date
March 27, 2013