On the Use of Surrogate Endpoints in Randomized Trials (with Discussion)

In a recent paper Day and Duffy proposed a strategy for designing a randomized trial of different breast cancer screening schedules. Their strategy was based on the use of predictors of mortality determined by patients' factors at diagnosis as surrogates for true mortality. On the basis of the...

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Main Authors: Begg, C. B., Leung, Denis H. Y.
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Language:English
Published: Institutional Knowledge at Singapore Management University 2000
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Online Access:https://ink.library.smu.edu.sg/soe_research/407
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spelling sg-smu-ink.soe_research-14062010-09-23T05:48:03Z On the Use of Surrogate Endpoints in Randomized Trials (with Discussion) Begg, C. B. Leung, Denis H. Y. In a recent paper Day and Duffy proposed a strategy for designing a randomized trial of different breast cancer screening schedules. Their strategy was based on the use of predictors of mortality determined by patients' factors at diagnosis as surrogates for true mortality. On the basis of the Prentice criterion for validity of a surrogate end point, and data from earlier studies of breast cancer case survival, they showed that, not only would the trial require a much shorter follow-up, but also that the information (i.e. inverse variance) for evaluating a treatment effect on mortality would be greater by a factor of nearly 3 if the predictors of mortality were used, compared with a trial in which mortality was actually observed. Although these results are technically correct, we believe that the conceptual strategy on which they are based is flawed, and that the fundamental problem is the Prentice criterion itself. In this paper the technical issues are discussed in detail, and an alternative structure for evaluating the validity of surrogate end points is proposed. 2000-01-01T08:00:00Z text https://ink.library.smu.edu.sg/soe_research/407 Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Econometrics
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Econometrics
spellingShingle Econometrics
Begg, C. B.
Leung, Denis H. Y.
On the Use of Surrogate Endpoints in Randomized Trials (with Discussion)
description In a recent paper Day and Duffy proposed a strategy for designing a randomized trial of different breast cancer screening schedules. Their strategy was based on the use of predictors of mortality determined by patients' factors at diagnosis as surrogates for true mortality. On the basis of the Prentice criterion for validity of a surrogate end point, and data from earlier studies of breast cancer case survival, they showed that, not only would the trial require a much shorter follow-up, but also that the information (i.e. inverse variance) for evaluating a treatment effect on mortality would be greater by a factor of nearly 3 if the predictors of mortality were used, compared with a trial in which mortality was actually observed. Although these results are technically correct, we believe that the conceptual strategy on which they are based is flawed, and that the fundamental problem is the Prentice criterion itself. In this paper the technical issues are discussed in detail, and an alternative structure for evaluating the validity of surrogate end points is proposed.
format text
author Begg, C. B.
Leung, Denis H. Y.
author_facet Begg, C. B.
Leung, Denis H. Y.
author_sort Begg, C. B.
title On the Use of Surrogate Endpoints in Randomized Trials (with Discussion)
title_short On the Use of Surrogate Endpoints in Randomized Trials (with Discussion)
title_full On the Use of Surrogate Endpoints in Randomized Trials (with Discussion)
title_fullStr On the Use of Surrogate Endpoints in Randomized Trials (with Discussion)
title_full_unstemmed On the Use of Surrogate Endpoints in Randomized Trials (with Discussion)
title_sort on the use of surrogate endpoints in randomized trials (with discussion)
publisher Institutional Knowledge at Singapore Management University
publishDate 2000
url https://ink.library.smu.edu.sg/soe_research/407
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