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Evaluation of Surrogate Endpoints Using a Meta-Analysis Approach with Individual Patient Data: Summary of a Gastric Cancer Meta-Analysis Project

In: Frontiers of Biostatistical Methods and Applications in Clinical Oncology

Author

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  • Koji Oba

    (The University of Tokyo, Interfaculty Initiative in Information Studies, Graduate School of Interdisciplinary Information Studies & Department of Biostatistics, School of Public Health, Graduate School of Medicine)

  • Xavier Paoletti

    (Gustave Roussy Cancer Center & INSERM U1018 CESP OncoStat, Department of Biostatistics and Epidemiology)

Abstract

Statistical methodologies for evaluation of surrogate endpointsSurrogate endpoint have been developed actively since 1989. A meta-analytic approach is frequently applied with data from several randomized controlled trials, and the surrogacySurrogacy measures are evaluated at the individual level and at the trial level. This approach needs individual patient dataIndividual patient data for each trial and requires collaborative work with several professionals. In this chapter, we introduce the Global Advanced/Adjuvant Stomach Tumor Research International Collaboration (GASTRIC) project, which is an academic, worldwide project that conducts individual patient data meta-analyses of randomized controlled trials of post-operative adjuvant chemotherapy for resectable gastric cancer or chemotherapy for advanced/recurrent gastric cancer. We describe our statistical method for the evaluation of surrogate endpoints. In particular, we focus on the practical aspects of group establishment, data collection, and data analysis. Finally, future perspectives for the evaluation of surrogate endpoints are discussed.

Suggested Citation

  • Koji Oba & Xavier Paoletti, 2017. "Evaluation of Surrogate Endpoints Using a Meta-Analysis Approach with Individual Patient Data: Summary of a Gastric Cancer Meta-Analysis Project," Springer Books, in: Shigeyuki Matsui & John Crowley (ed.), Frontiers of Biostatistical Methods and Applications in Clinical Oncology, pages 179-192, Springer.
    • Handle: RePEc:spr:sprchp:978-981-10-0126-0_12
    DOI: 10.1007/978-981-10-0126-0_12
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