Adaptive designs(AD) are a broad class of trial designs that allow prepl...
Introduction
Even in effectively conducted randomised trials, the prob...
Modern data analysis frequently involves large-scale hypothesis testing,...
Basket trials are increasingly used for the simultaneous evaluation of a...
Platform trials evaluate multiple experimental treatments under a single...
We propose a Cross-validated ADaptive ENrichment design (CADEN) in which...
This paper develops Bayesian sample size formulae for experiments compar...
Adapting the final sample size of a trial to the evidence accruing durin...
The existing cross-validated risk scores (CVRS) design has been proposed...
Sample size derivation is a crucial element of the planning phase of any...
High-dimensional biomarkers such as genomics are increasingly being meas...
When simultaneously testing multiple hypotheses, the usual approach in t...
Mixed outcome endpoints that combine multiple continuous and discrete
co...
External pilot trials of complex interventions are used to help determin...
Basket trials emerge as a new class of efficient approaches to evaluate ...
Composite endpoints that combine multiple outcomes on different scales a...
Modern biomedical research frequently involves testing multiple related
...
Response-adaptive designs allow the randomization probabilities to chang...