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Printable Handouts
Navigable Slide Index
- Introduction
- Dose-toxicity relationship
- Dose-finding with toxicity endpoint
- Why do we need to find the MTD?
- How to find the MTD?
- Potential shortcomings of the parallel design
- Potential shortcomings of the escalation design
- Traditional or 3+3 design (1)
- Traditional or 3+3 design (2)
- Example of the 3+3 design
- 3+3 design: operating characteristics
- 3+3 design: operating characteristics (example)
- 3+3 design: advantages and disadvantages
- 5+5 design
- 3+3 may result in a very long trial
- Review of dose-finding designs
- Features of up-and-down designs
- Up-and-down design of Dixon and Mood
- Up-and-down designs (example)
- Up-and-down experiments
- Group up-and-down designs (1)
- Group up-and-down designs (example 1)
- Group up-and-down designs (example 2)
- The t-statistic design
- Illustrating the t-statistic design
Topics Covered
- Dose finding designs
- 3+3 design
- Group up-and-down designs
- The t-statistic design
Links
Series:
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Talk Citation
Ivanova, A. (2016, September 29). Adaptive designs for phase I trials 1 [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved December 26, 2024, from https://doi.org/10.69645/NXSR1463.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Anastasia Ivanova has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
Adaptive designs for phase I trials 1
Published on September 29, 2016
31 min
Other Talks in the Series: Adaptive Clinical Trial Design
Other Talks in the Series: The Risk of Bias in Randomized Clinical Trials
Transcript
Please wait while the transcript is being prepared...
0:00
Hi, my name is Anastasia Ivanova
from the Department of Biostatistics,
University of North Carolina
at Chapel Hill.
And today, we're gonna talk
about Adaptive Designs
for Phase I Trials.
These designs were developed
and are used in Phase I trials
in oncology.
Some of these designs
can be used in Phase I
and mostly Phase II trials
in areas other than oncology.
Since these designs
are mostly used in oncology,
I will focus
on oncology applications
throughout this lecture.
0:36
In oncology, we usually consider
several fixed doses
from three to eight.
And we assume
that the probability of toxicity
is non-decreasing with the dose.
Here, on this plot, I have a curve
showing the probability of toxicity
as a function of dose.
The goal of a Phase I trial
in oncology
is usually to find
the Maximum Tolerated Dose or MTD.
The MTD is defined as a dose
with a certain probability
of toxicity, usually 20%.
In oncology, the primary outcome
in dose-finding studies
is actually the Dose Limiting Toxicity,
but I will use these two terms
interchangeably DLT or toxicity.
1:29
So as I said,
the Maximum Tolerated Dose
is defined as the dose
where the probability of toxicity
is equal to a certain number
but you know this number as Γ.
And Γ is usually 20%
in Phase I trials in oncology.