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We hope you have enjoyed this limited-length demo
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1. Adaptive clinical trials: overview 1
- Prof. Yu Shyr
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2. Adaptive clinical trials: overview 2
- Prof. Yu Shyr
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3. Bayesian adaptive designs for clinical trials
- Prof. Benjamin Saville
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4. Adaptive clinical trial design: randomization
- Prof. Hao Liu
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5. Adaptive designs for phase I trials 1
- Prof. Anastasia Ivanova
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6. Adaptive designs for phase I trials 2
- Prof. Anastasia Ivanova
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7. Case studies of adaptive early phase trials
- Prof. Daniel Normolle
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8. Phase II clinical trials - traditional approaches
- Prof. Fei Ye
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9. Phase II clinical trials - Bayesian methods
- Prof. Fei Ye
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10. Seamless phase II/III trials
- Prof. Elizabeth Garrett-Mayer
- Mr. Nathaniel O’Connell
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11. Frequentist approaches: sample size in adaptive clinical designs
- Prof. Tatsuki Koyama
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14. Ethical issues in adaptive clinical trials
- Dr. Spencer Phillips Hey
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15. Implementation of adaptive methods in early phase clinical trials
- Prof. Gina Petroni
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16. Design early phase drug combination trials: methods
- Prof. Ying Yuan
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17. Design early phase drug combination trials: software
- Prof. Ying Yuan
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18. Adaptation in likelihood trials
- Prof. Jeffrey Blume
Printable Handouts
Navigable Slide Index
- Introduction
- Outline
- Definition of an adaptive clinical trial
- FDA: guidance for adaptive design clinical trials
- Frequentist vs. Bayesian vs. likelihood
- Three major branches of the statistics
- Frequentist vs. Bayesian
- Example of an adaptive clinical trials design
- Goals of phase II oncology trials
- Important design considerations in phase II trials
- Standard single arm phase II study
- Two-stage designs
- Revised design
- Simon two-stage design
- Balanced design
- Gehan and Fleming two-stage design
- Frequentist versus Bayesians
- Bayesian inference
- Bayesian Designs
- Bayesian design example (N=0)
- Bayesian design example (N=1)
- Bayesian design example (N=2)
- Bayesian design example (N=4)
- Bayesian design example (N=5)
- Bayesian design example (N=39)
- Posterior probabilities
- Other priors
Topics Covered
- Definition of an adaptive clinical trial
- FDA: guidance for adaptive design clinical trials
- Frequentist vs. Bayesian vs. likelihood
- Three major branches of the statistics
- Example of an adaptive clinical trials design
- Two-stage designs
- Revised design
- Simon two-stage design
- Balanced design
- Gehan and Fleming two-stage design
Talk Citation
Shyr, Y. (2017, August 31). Adaptive clinical trials: overview 1 [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved October 16, 2024, from https://doi.org/10.69645/WQYF3176.Export Citation (RIS)
Publication History
Financial Disclosures
- Professor Yu Shyr has no commercial/financial relationships to disclose
Adaptive clinical trials: overview 1
Published on August 31, 2017
38 min
A selection of talks on Methods
Transcript
Please wait while the transcript is being prepared...
0:00
Hello everyone.
Welcome to the Adaptive Clinical Trials course.
This is the first lecture,
we call this the overview.
And my name is Yu Shyr.
I am the director at the Vanderbilt Center for Quantitative Sciences.
0:21
In today's lecture, we will talk about
several topics which is to highlight
the adaptive clinical trial design for the entire course series.
I will start to talk about the definition of
an adaptive clinical trial and then I will follow
by a Frequentist versus Bayesian versus likelihood.
We know you can design an adaptive clinical trial based on the
Frequentist-based or Bayesian-based or even likelihood-based.
I will give you some highlights about the differences and similarities about
those three big branches in statistical world.
Followed by that, I will give you
a very simple example of adaptive clinical trial design,
which is I will give you a Bayesian and a Frequentist-based idea.
And after that, I will give you an adaptive randomization trial based on
the baseline covariates, introduce minimization,
randomization for you. And then I will introduce the so-called biased urn study which is
the adaptive randomization clinical trials based on the study outcome.
I will end with the last topic which is the biomarker-adaptive clinical trial design.
And I will come back to
this biomarker adaptive clinical trial design when you
complete the entire course training.