Bayesian Approaches in Medical Device Clinical Trials: A Discussion with Examples in the Regulatory Setting

2011 ◽  
Vol 21 (5) ◽  
pp. 938-953 ◽  
Author(s):  
Pablo Bonangelino ◽  
Telba Irony ◽  
Shengde Liang ◽  
Xuefeng Li ◽  
Vandana Mukhi ◽  
...  
10.28945/3201 ◽  
2008 ◽  
Author(s):  
Stephen Smith ◽  
Samuel Sambasivam

Electronic Data Capture (EDC) is increasingly being used in the pharmaceutical, biotech and medical device industries to gather research data worldwide from doctors, hospitals and universities participating in clinical trials. In this highly regulated environment, all systems and software must be thoroughly tested and validated, a task that is burdensome in terms of time and cost. Starting with database structures that are designed to be copied easily, this paper proposes a simple framework that allows for rapid development and minimal testing. The framework includes tools for building modules, for copying modules from one trial to the next, and tools to validate that the modules are the same as modules that have been fully tested previously. A proof-of-concept prototype has been built to demonstrate certain tools and techniques that can be used when designing and building a simplified EDC interface.


2018 ◽  
pp. 101-107
Author(s):  
William D. Voorhees ◽  
Theodore W. Heise

2017 ◽  
Vol 376 (14) ◽  
pp. 1350-1357 ◽  
Author(s):  
Owen Faris ◽  
Jeffrey Shuren

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