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Objective. To describe strategies for implementation of simulation-based crisis resource management (CRM) in pharmacy education and present students’ appreciation of an interdisciplinary CRM training ...
Simulation-based parameter estimation offers a powerful means of estimating parameters in complex stochastic models. We illustrate the application of these ideas in the setting of a natural history mo...
In many stochastic models, it is known that the response surface corresponding to a particular performance measure is monotone in the underlying parameter. For example, the steady-state mean waiting t...
This paper develops fundamental theory related to the use of simulation-based non-adaptive random search as a means of optimizing a function that can be expressed as an expectation. Our results establ...
This paper provides a rigorous asymptotic analysis and justification of upper and lower confidence bounds proposed by Dantzig and Infanger (1995) for an iterative sampling-based decomposition algorith...
Objectives. To characterize the use of high-fidelity mannequins and standardized patients in US pharmacy colleges and schools. Methods. A survey instrument was sent to 105 doctor of pharmacy (PharmD)...
Simulation-based optimal design techniques are a convenient tool for solving a particular class of optimal design problems. The goal is to find the optimal configuration of factor settings with respec...
The most common types of assessment of human patient simulation are satisfaction and/or confidence surveys or tests of knowledge acquisition. There is an urgent need to develop valid, reliable assessm...
Objective. To implement and evaluate a simulation activity and related assignments within a geriatric elective to teach pharmacy students about the medication management difficulties experienced by lo...
This paper considers a simulation-based estimator for a general class of Markovian processes and explores some strong consistency properties of the estimator. The estimation problem is defined over a ...
A variety of simulation-based techniques have been proposed for detec- tion of divergent behaviour at each level of a hierarchical model. We investigate a diagnostic test based on measuring the coni...
In this paper we study simulation based optimization algorithms for solving discrete time optimal stopping problems. This type of algorithms became popular among practioneers working in the area of qu...

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