There is a growing interest in the implementation of platform trials, wh...
Adaptive enrichment allows for pre-defined patient subgroups of interest...
Programming is ubiquitous in applied biostatistics; adopting software
en...
In adaptive clinical trials, the conventional end-of-trial point estimat...
Basket trials are increasingly used for the simultaneous evaluation of a...
The use of `backfilling', assigning additional patients to doses deemed ...
In Phase I/II dose-finding trials, the objective is to find the Optimal
...
Platform trials evaluate multiple experimental treatments under a single...
There is growing interest in platform trials that allow for adding of ne...
Recent FDA guidance on adaptive clinical trial designs defines bias as "...
An objective of phase I dose-finding trials is to find the maximum toler...
It is increasingly common for therapies in oncology to be given in
combi...
The most common objective for response adaptive clinical trials is to se...
This paper develops Bayesian sample size formulae for experiments compar...
In the search for effective treatments for COVID-19, initial emphasis ha...
Multi-Arm Multi-Stage (MAMS) platform trials are an efficient tool for t...
Adaptive designs for clinical trials permit alterations to a study in
re...
Introduction: Endpoint choice for randomized controlled trials of treatm...
One size fits all approaches to medicine have become a thing of the past...
Incorporating preclinical animal data, which can be regarded as a specia...
When a clinical trial is subject to a series of interim analyses as a re...
This paper proposes a novel criterion for the allocation of patients in
...
For many years Phase I and Phase II clinical trials were conducted
separ...
There is a growing interest in dose finding studies involving continuous...