CRM and partial order CRM with adaptive rescaling for dose‐finding in immunotherapy trials with a continuous outcome
In many phase 1 oncology trials of immunotherapies, no dose‐limiting toxicities are observed and the maximum tolerated dose cannot be identified. In these settings, dose‐finding can be guided by a biomarker of response rather than the occurrences of dose‐limiting toxicity. The recommended phase 2 do...
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Published in | Statistics in medicine Vol. 42; no. 14; pp. 2409 - 2419 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Hoboken, USA
John Wiley & Sons, Inc
30.06.2023
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
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Summary: | In many phase 1 oncology trials of immunotherapies, no dose‐limiting toxicities are observed and the maximum tolerated dose cannot be identified. In these settings, dose‐finding can be guided by a biomarker of response rather than the occurrences of dose‐limiting toxicity. The recommended phase 2 dose can be defined as the dose with mean response equal to a prespecified value of a continuous response biomarker. To target the mean of a continuous biomarker, we build on the idea of the continual reassessment method and the quasi‐Bernoulli likelihood. We extend the design to a problem of finding the recommended phase 2 dose combination in a trial with multiple immunotherapies. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0277-6715 1097-0258 |
DOI: | 10.1002/sim.9729 |