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- May–June 2018
- Article
Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations
By: Joel Goh, Mohsen Bayati, Stefanos A. Zenios, Sundeep Singh and David Moore
Cost-effectiveness studies of medical innovations often suffer from data inadequacy. When Markov chains are used as a modeling framework for such studies, this data inadequacy can manifest itself as imprecision in the elements of the transition matrix. In this paper,...
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Health-care Applications
By: Joel Goh
Active postmarketing drug surveillance. There is substantial interest within the U.S. health community and among health policymakers in developing a surveillance system that scans public health databases in order to proactively detect potential drug safety... View Details