Literature DB >> 18285443

Evaluating time to cancer recurrence as a surrogate marker for survival from an information theory perspective.

Ariel Alonso1, Geert Molenberghs.   

Abstract

The last two decades have seen a lot of development in the area of surrogate marker validation. One of these approaches places the evaluation in a meta-analytic framework, leading to definitions in terms of trial- and individual-level association. A drawback of this methodology is that different settings have led to different measures at the individual level. Using information theory, Alonso et al. proposed a unified framework, leading to a new definition of surrogacy, which offers interpretational advantages and is applicable in a wide range of situations. In this work, we illustrate how this information-theoretic approach can be used to evaluate surrogacy when both endpoints are of a time-to-event type. Two meta-analyses, in early and advanced colon cancer, respectively, are then used to evaluate the performance of time to cancer recurrence as a surrogate for overall survival.

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Year:  2008        PMID: 18285443     DOI: 10.1177/0962280207081851

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   3.021


  8 in total

1.  An information-theoretic approach to surrogate-marker evaluation with failure time endpoints.

Authors:  Assam Pryseley; Abel Tilahun; Ariel Alonso; Geert Molenberghs
Journal:  Lifetime Data Anal       Date:  2010-09-28       Impact factor: 1.588

2.  Improving efficiency in clinical trials using auxiliary information: Application of a multi-state cure model.

Authors:  A S C Conlon; J M G Taylor; D J Sargent
Journal:  Biometrics       Date:  2015-01-13       Impact factor: 2.571

3.  Using cure models and multiple imputation to utilize recurrence as an auxiliary variable for overall survival.

Authors:  Anna S C Conlon; Jeremy M G Taylor; Daniel J Sargent; Greg Yothers
Journal:  Clin Trials       Date:  2011-09-15       Impact factor: 2.486

4.  Causal assessment of surrogacy in a meta-analysis of colorectal cancer trials.

Authors:  Yun Li; Jeremy M G Taylor; Michael R Elliott; Daniel J Sargent
Journal:  Biostatistics       Date:  2011-01-20       Impact factor: 5.899

Review 5.  Meta-analysis for the evaluation of surrogate endpoints in cancer clinical trials.

Authors:  Qian Shi; Daniel J Sargent
Journal:  Int J Clin Oncol       Date:  2009-04-24       Impact factor: 3.402

6.  Evaluation of Surrogate Endpoints Using Information-Theoretic Measure of Association Based on Havrda and Charvat Entropy.

Authors:  María Del Carmen Pardo; Qian Zhao; Hua Jin; Ying Lu
Journal:  Mathematics (Basel)       Date:  2022-01-31

Review 7.  Informed decision-making: Statistical methodology for surrogacy evaluation and its role in licensing and reimbursement assessments.

Authors:  Christopher J Weir; Rod S Taylor
Journal:  Pharm Stat       Date:  2022-07       Impact factor: 1.234

8.  Prediction of survival benefits from progression-free survival benefits in advanced non-small-cell lung cancer: evidence from a meta-analysis of 2334 patients from 5 randomised trials.

Authors:  Silvy Laporte; Pierre Squifflet; Noémie Baroux; Frank Fossella; Vassilis Georgoulias; Jean-Louis Pujol; Jean-Yves Douillard; Shinzohy Kudoh; Jean-Pierre Pignon; Emmanuel Quinaux; Marc Buyse
Journal:  BMJ Open       Date:  2013-03-13       Impact factor: 2.692

  8 in total

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