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Q: Do clinical trials ever go wrong?

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Prototype devices

It is recognized that a manufacturer may wish to submit a small number  of "prototype models" of a device to clinical investigation in order to assess safety and/or performance; and those such prototypes may need to undergo a number of changes prior to large-scale production.

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 Subject :US-FDA Guidance for the Use of Bayesian Statistics in Medical Device C.. 2010-02-06 12:12:14 
GCP HelpDesk
Joined: 2009-06-18 15:31:58
Posts: 62
Subject :US-FDA Guidance for the Use of Bayesian Statistics in Medical Device Clinical Trials

Dear Friends,

The U.S. Food and Drug Administration today issued guidance on Bayesian statistical methods in the design and analysis of medical device clinical trials that could result in less costly and more efficient patient studies.

The Bayesian statistical method applies an algorithm that makes it possible for companies to combine data collected in previous studies with data collected in a current trial. The combined data may provide sufficient justification for smaller or shorter clinical studies.

The FDA has substantial experience in the use of Bayesian statistical methods for the design and analysis of scientifically valid clinical studies. The FDA has approved a number of medical devices whose approval applications submitted to the FDA included clinical studies that used these statistical methods.

The final guidance, titled “Guidance for the Use of Bayesian Statistics in Medical Device Clinical Trials,” describes use of Bayesian methods, design and analysis of medical device clinical trials, the benefits and difficulties with the Bayesian approach, and comparisons with standard statistical methods. The guidance also presents ideas for using Bayesian methods in post-market studies.

The final document reflects public input gathered in 2006 after release of a draft of the guidance.

Health care payers are also contemplating the role Bayesian methods could play in making coverage decisions. In a June 2009 public meeting, the Medicare Evidence Development & Coverage Advisory Committee encouraged Medicare policymakers to consider Bayesian approaches when reviewing trials or technology assessments during the national coverage analysis process.

For this guidance click here.

Kind regards,

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