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PMID: 25640198 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Adaptive seamless designs with interim treatment selection: a case study in oncology.

Statistics in medicine ·Vol. 34 ·No. 8 ·2015-04-15 ·Pages 1317-33

Carreras M, Gutjahr G, Brannath W

Abstract

The planning of an oncology clinical trial with a seamless phase II/III adaptive design is discussed. Two regimens of an experimental treatment are compared to a control at an interim analysis, and the most-promising regimen is selected to continue, together with control, until the end of the study. Because the primary endpoint is expected to be immature at the interim regimen selection analysis, designs that incorporate primary as well as surrogate endpoints in the regimen selection process are considered. The final testing of efficacy at the end of the study comparing the selected regimen to the control with respect to the primary endpoint uses all relevant data collected both before and after the regimen selection analysis. Several approaches for testing the primary hypothesis are assessed with regard to power and type I error rate. Because the operating characteristics of these designs depend on the specific regimen selection rules considered, benchmark scenarios are proposed in which a perfect surrogate and no surrogate is used at the regimen selection analysis. The operating characteristics of these benchmark scenarios provide a range where those of the actual study design are expected to lie. A discussion on family-wise error rate control for testing primary and key secondary endpoints as well as an assessment of bias in the final treatment effect estimate for the selected regimen are also presented.

Keywords
adaptive seamless designs confidence intervals family wise error rate selection bias surrogate endpoints treatment selection
MeSH Terms
Antineoplastic Agents/administration & dosage Bias Clinical Trials, Phase II as Topic/methods Clinical Trials, Phase III as Topic/methods Computer Simulation Data Interpretation, Statistical Dose-Response Relationship, Drug Drug Design Endpoint Determination/methods,statistics & numerical data Humans Neoplasm Metastasis Research Design Stomach Neoplasms/drug therapy,pathology Survival Analysis Treatment Outcome
Chemicals
Antineoplastic Agents
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Carreras Máximo
F. Hoffmann-La Roche AG, Basel, Switzerland.
Gutjahr Georg
Brannath Werner
Article Info
Journal
Statistics in medicine
Abbr.
Stat Med
ISSN
1097-0258
Published
2015-04-15
Epub
2015-00-07
Pages
1317-33
Language
English
Region
England
NLM ID
8215016
Subset
IM
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