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Paul M, Scudeller L. Clinical research designs to study treatment effects for multidrug-resistant bacteria. Clin Microbiol Infect 2019; 25:929-931. [PMID: 31121323 DOI: 10.1016/j.cmi.2019.05.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 05/05/2019] [Accepted: 05/07/2019] [Indexed: 12/27/2022]
Affiliation(s)
- M Paul
- Rambam Health Care Campus and The Ruth and Bruce Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel.
| | - L Scudeller
- IRCCS Policlinic San Matteo Foundation, Scientific Direction, Clinical Epidemiology and Biostatistics Unit, Pavia, Italy
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Alsop J, Scott M, Archey W. The mixed randomized trial: combining randomized, pragmatic and observational clinical trial designs. J Comp Eff Res 2016; 5:569-579. [DOI: 10.2217/cer-2016-0034] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Clinical trial designs often fail to deliver data that jointly satisfy evolving demands of both regulatory and reimbursement authorities. We propose a new multi-tiered trial design to integrate efficacy and effectiveness, and address the evolving needs of authorities. The mixed randomized trial allocates patients first to trial arm – randomized controlled, pragmatic (randomized) or observational – and then to treatment group – experimental, placebo, active comparator, best available therapy or standard of care. Trial arms may be staggered over time to reflect the current state of randomized and non-randomized data of the experimental drug, and thereby still prioritize safety. At the same time, the mixed randomized trial allows for the collection of real-world data in a randomized setting, and thereby reduces selection bias.
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Nie L, Zhang Z, Rubin D, Chu J. Likelihood reweighting methods to reduce potential bias in noninferiority trials which rely on historical data to make inference. Ann Appl Stat 2013. [DOI: 10.1214/13-aoas655] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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