Multi-arm, multi-stage randomised controlled trials for evaluating therapeutic HIV cure interventions
نویسندگان
چکیده
منابع مشابه
Optimal design for multi-arm multi-stage clinical trials
In early stages of drug development there is often uncertainty about the most promising among a set of different treatments. In order to ensure the best use of resources it is important to decide which, if any, of the treatments should be taken forward for further testing. Multi-arm multi-stage (MAMS) trials provide gains in efficiency over separate randomised trials of each treatment. They all...
متن کاملSome recommendations for multi-arm multi-stage trials
Multi-arm multi-stage designs can improve the efficiency of the drug-development process by evaluating multiple experimental arms against a common control within one trial. This reduces the number of patients required compared to a series of trials testing each experimental arm separately against control. By allowing for multiple stages experimental treatments can be eliminated early from the s...
متن کاملTreatment selection in multi-arm, multi-stage clinical trials
Adaptive designs that are based on group-sequential approaches have the benefit of being efficient as stopping boundaries can be found that lead to good operating characteristics with test decisions based solely on sufficient statistics. The drawback of these so called “pre-planned adaptive” designs is that unexpected design changes are not possible without impacting the error rates. “Flexible ...
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BACKGROUND Tuberculosis is the world's leading infectious disease killer. We aimed to identify shorter, safer drug regimens for the treatment of tuberculosis. METHODS We did a randomised controlled, open-label trial with a multi-arm, multi-stage design. The trial was done in seven sites in South Africa and Tanzania, including hospitals, health centres, and clinical trial centres. Patients wit...
متن کاملThe R Package MAMS for Designing Multi-Arm Multi-Stage Clinical Trials
In the early stages of drug development there is often uncertainty about the most promising among a set of different treatments, different doses of the same treatment, or combinations of treatments. Multi-arm multi-stage (MAMS) clinical studies provide an efficient solution to determine which intervention is most promising. In this paper we discuss the R package MAMS that allows designing such ...
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ژورنال
عنوان ژورنال: The Lancet HIV
سال: 2019
ISSN: 2352-3018
DOI: 10.1016/s2352-3018(19)30082-7