Evolving Variants, Shifting Outcomes: Implications for Nonconcurrent Controls in Platform Trials for COVID-19

Shin Watanabe1, Yosuke Shimizu1,2, Hiroyuki Sato1

  • 1Department of Clinical Biostatistics, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, Japan.

Summary

Platform trials for drug development face challenges from temporal shifts. Nonconcurrent control data can introduce bias, requiring robust statistical methods for reliable results in evolving COVID-19 landscapes.

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