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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - A novel statistical test for treatment differences in clinical trials using a response‐adaptive forward‐looking Gittins Index Rule
AU - Barnett, Helen Yvette
AU - Villar, Sofía S.
AU - Geys, Helena
AU - Jaki, Thomas
PY - 2023/3/31
Y1 - 2023/3/31
N2 - The most common objective for response-adaptive clinical trials is to seek to ensure that patients within a trial have a high chance of receiving the best treatment available by altering the chance of allocation on the basis of accumulating data. Approaches that yield good patient benefit properties suffer from low power from a frequentist perspective when testing for a treatment difference at the end of the study due to the high imbalance in treatment allocations. In this work we develop an alternative pairwise test for treatment difference on the basis of allocation probabilities of the covariate-adjusted response-adaptive randomization with forward-looking Gittins Index (CARA-FLGI) Rule for binary responses. The performance of the novel test is evaluated in simulations for two-armed studies and then its applications to multiarmed studies are illustrated. The proposed test has markedly improved power over the traditional Fisher exact test when this class of nonmyopic response adaptation is used. We also find that the test's power is close to the power of a Fisher exact test under equal randomization.
AB - The most common objective for response-adaptive clinical trials is to seek to ensure that patients within a trial have a high chance of receiving the best treatment available by altering the chance of allocation on the basis of accumulating data. Approaches that yield good patient benefit properties suffer from low power from a frequentist perspective when testing for a treatment difference at the end of the study due to the high imbalance in treatment allocations. In this work we develop an alternative pairwise test for treatment difference on the basis of allocation probabilities of the covariate-adjusted response-adaptive randomization with forward-looking Gittins Index (CARA-FLGI) Rule for binary responses. The performance of the novel test is evaluated in simulations for two-armed studies and then its applications to multiarmed studies are illustrated. The proposed test has markedly improved power over the traditional Fisher exact test when this class of nonmyopic response adaptation is used. We also find that the test's power is close to the power of a Fisher exact test under equal randomization.
KW - Applied Mathematics
KW - General Agricultural and Biological Sciences
KW - General Immunology and Microbiology
KW - General Biochemistry, Genetics and Molecular Biology
KW - General Medicine
KW - Statistics and Probability
KW - allocation probability
KW - inference
KW - nonmyopic
KW - power
KW - testing for superiority
U2 - 10.1111/biom.13581
DO - 10.1111/biom.13581
M3 - Journal article
C2 - 34669968
VL - 79
SP - 86
EP - 97
JO - Biometrics
JF - Biometrics
SN - 0006-341X
IS - 1
ER -