Are Novel, Nonrandomized Analytic Methods Fit for Decision Making? The Need for Prospective, Controlled, and Transparent Validation
- PMID: 31574163
- PMCID: PMC7158212
- DOI: 10.1002/cpt.1638
Are Novel, Nonrandomized Analytic Methods Fit for Decision Making? The Need for Prospective, Controlled, and Transparent Validation
Abstract
Real-world data and patient-level data from completed randomized controlled trials are becoming available for secondary analysis on an unprecedented scale. A range of novel methodologies and study designs have been proposed for their analysis or combination. However, to make novel analytical methods acceptable for regulators and other decision makers will require their testing and validation in broadly the same way one would evaluate a new drug: prospectively, well-controlled, and according to a pre-agreed plan. From a European regulators' perspective, the established methods qualification advice procedure with active participation of patient groups and other decision makers is an efficient and transparent platform for the development and validation of novel study designs.
© 2019 The Authors. Clinical Pharmacology & Therapeutics published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics.
Conflict of interest statement
As an Associate Editor for
Comment in
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Overcoming Regulatory Aversion to Novel Methods of Evidence Generation.Clin Pharmacol Ther. 2020 May;107(5):1057-1058. doi: 10.1002/cpt.1711. Epub 2019 Nov 30. Clin Pharmacol Ther. 2020. PMID: 31785161 Free PMC article. No abstract available.
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Can real-world data really replace randomised clinical trials?BMC Med. 2020 Jan 15;18(1):13. doi: 10.1186/s12916-019-1481-8. BMC Med. 2020. PMID: 31937304 Free PMC article. No abstract available.
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