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Re-formulating Gehan’s design as a flexible two-stage single-arm trial
by
Grayling, Michael J.
, Mander, Adrian P.
in
Adaptive
/ Algorithms
/ Binary
/ Cancer
/ Cancer research
/ Clinical trials
/ Clinical Trials, Phase II as Topic - methods
/ Group sequential
/ Health Sciences
/ Humans
/ Hypotheses
/ Hypothesis testing
/ Medical research
/ Medicine
/ Medicine & Public Health
/ Methods
/ Neoplasms - therapy
/ Oncology
/ One-sample
/ Outcome Assessment, Health Care - methods
/ Outcome Assessment, Health Care - statistics & numerical data
/ Phase II
/ Research Article
/ Research Design
/ Response rates
/ Single-arm
/ Statistical Theory and Methods
/ Statistics for Life Sciences
/ Study design
/ Theory of Medicine/Bioethics
2019
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Re-formulating Gehan’s design as a flexible two-stage single-arm trial
by
Grayling, Michael J.
, Mander, Adrian P.
in
Adaptive
/ Algorithms
/ Binary
/ Cancer
/ Cancer research
/ Clinical trials
/ Clinical Trials, Phase II as Topic - methods
/ Group sequential
/ Health Sciences
/ Humans
/ Hypotheses
/ Hypothesis testing
/ Medical research
/ Medicine
/ Medicine & Public Health
/ Methods
/ Neoplasms - therapy
/ Oncology
/ One-sample
/ Outcome Assessment, Health Care - methods
/ Outcome Assessment, Health Care - statistics & numerical data
/ Phase II
/ Research Article
/ Research Design
/ Response rates
/ Single-arm
/ Statistical Theory and Methods
/ Statistics for Life Sciences
/ Study design
/ Theory of Medicine/Bioethics
2019
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Re-formulating Gehan’s design as a flexible two-stage single-arm trial
by
Grayling, Michael J.
, Mander, Adrian P.
in
Adaptive
/ Algorithms
/ Binary
/ Cancer
/ Cancer research
/ Clinical trials
/ Clinical Trials, Phase II as Topic - methods
/ Group sequential
/ Health Sciences
/ Humans
/ Hypotheses
/ Hypothesis testing
/ Medical research
/ Medicine
/ Medicine & Public Health
/ Methods
/ Neoplasms - therapy
/ Oncology
/ One-sample
/ Outcome Assessment, Health Care - methods
/ Outcome Assessment, Health Care - statistics & numerical data
/ Phase II
/ Research Article
/ Research Design
/ Response rates
/ Single-arm
/ Statistical Theory and Methods
/ Statistics for Life Sciences
/ Study design
/ Theory of Medicine/Bioethics
2019
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Re-formulating Gehan’s design as a flexible two-stage single-arm trial
Journal Article
Re-formulating Gehan’s design as a flexible two-stage single-arm trial
2019
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Overview
Background
Gehan’s two-stage design was historically the design of choice for phase II oncology trials. One of the reasons it is less frequently used today is that it does not allow for a formal test of treatment efficacy, and therefore does not control conventional type-I and type-II error-rates.
Methods
We describe how recently developed methodology for flexible two-stage single-arm trials can be used to incorporate the hypothesis test commonly associated with phase II trials in to Gehan’s design. We additionally detail how this hypothesis test can be optimised in order to maximise its power, and describe how the second stage sample sizes can be chosen to more readily provide the operating characteristics that were originally envisioned by Gehan. Finally, we contrast our modified Gehan designs to Simon’s designs, based on two examples motivated by real clinical trials.
Results
Gehan’s original designs are often greatly under- or over-powered when compared to type-II error-rates typically used in phase II. However, we demonstrate that the control parameters of his design can be chosen to resolve this problem. With this, though, the modified Gehan designs have operating characteristics similar to the more familiar Simon designs.
Conclusions
The trial design settings in which Gehan’s design will be preferable over Simon’s designs are likely limited. Provided the second stage sample sizes are chosen carefully, however, one scenario of potential utility is when the trial’s primary goal is to ascertain the treatment response rate to a certain precision.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
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