A Benchmark for Dose Finding Studies with Continuous Outcomes

12/23/2017
by   Pavel Mozgunov, et al.
0

There is a growing interest in dose finding studies involving continuous outcomes. An important tool to evaluate the performance of any design is a benchmark that provides an upper bound on the performance. While the benchmark for dose finding studies with discrete endpoint is known, no such benchmark for studies with continuous endpoint has been developed. We show that the original benchmark by O'Quigley et al. (2002) and Cheung (2014), when looked at a different perspective, can be generalised to various settings with both discrete and continuous outcomes. We illustrate and compare the benchmark performance in the setting of a Phase I clinical trial with continuous endpoint and in the setting of Phase I/II clinical trial with continuous efficacy. It is found that the proposed benchmark provides an accurate upper bound for model-based dose finding methods and serves as a powerful tool for evaluating designs.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/28/2023

The Backfill i3+3 Design for Dose-Finding Trials in Oncology

We consider a formal statistical design that allows simultaneous enrollm...
research
06/29/2019

trialr: Bayesian Clinical Trial Designs in R and Stan

This manuscript introduces an R package called trialr that implements a ...
research
03/30/2022

Dose Finding Studies for Therapies with Late-Onset Safety and Efficacy Outcomes

In Phase I/II dose-finding trials, the objective is to find the Optimal ...
research
03/30/2023

Incorporating patient-reported outcomes in dose-finding clinical trials with continuous patient enrollment

Dose-finding clinical trials in oncology aim to estimate the maximum tol...
research
04/30/2021

Dose Finding Studies for Therapies with Late-Onset Toxicities: A Comparison Study of Designs

An objective of phase I dose-finding trials is to find the maximum toler...
research
03/12/2018

An information-theoretic Phase I/II design for molecularly targeted agents that does not require an assumption of monotonicity

For many years Phase I and Phase II clinical trials were conducted separ...
research
12/13/2020

Statistical matching and subclassification with a continuous dose: characterization, algorithms, and inference

Subclassification and matching are often used to adjust for observed cov...

Please sign up or login with your details

Forgot password? Click here to reset