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Under certain regularity conditions, we show that the maximum likelihood estimator achieves the asymptotic lower bound for response adaptive trials with dichotomous responses.
Rare cancers take special benefit from adaptive trials, because of the difficulty to find patients for clinical studies and the consequently long recruitment timelines.
For example, Bayesian adaptive trials designed to adjust in a prespecified manner to changes in clinical practice could motivate people and their health care providers to view clinical trials as more applicable to real-world clinical decisions.
Adaptive trials and repetitive design may be used.
There has been much interest in and excitement about the potential of innovative trial designs, such as adaptive trials and platform trials, to make the long and expensive clinical trial process more efficient and effective.
Matching multiple heterogeneous clinical profiles with a number of potentially effective treatments requires an adaptive trial design that can adjust for these complexities.
They rightly called for using an adaptive trial design that compares different experimental treatments in different settings.
Adaptive trial design has been proposed to account for the uncertainty of estimating a sample size [ 28].
As an example, an adaptive trial was recently conducted into a treatment for maintaining lung function in patients with Coronary Obstructive Pulmonary disease (COPD) (Barnes et al., 2010).
A more significant challenge for researchers wanting to conduct an adaptive trial design might be with the actual design rather than the implementation.
Conclusions: Many facilitators were highly rated for increasing interest in CT participation, supporting adaptive trial design and education and outreach.
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