Selected article for: "detailed understanding and multistate model"
Author: Maja von Cube; Marlon Grodd; Martin Wolkewitz; Derek Hazard; Jerome Lambert
Title: Harmonizing heterogeneous endpoints in COVID-19 trials without loss of information - an essential step to facilitate decision making
  • Document date: 2020_4_3
    • ID: bsddxgx2_2
    Snippet: The Core Outcome Measures in Effectiveness Trials (COMET) Initiative is currently working on a core outcome set (COS) for COVID-19 randomized trials (3) . In this manuscript, we propose a multistate model that harmonizes the multiplicity of endpoints while allowing for a detailed understanding of treatment effect (4, 5) . Thus, we do not aim at giving recommendation on suitable endpoints, but rather on additional statistical analysis that provide.....
    Document: The Core Outcome Measures in Effectiveness Trials (COMET) Initiative is currently working on a core outcome set (COS) for COVID-19 randomized trials (3) . In this manuscript, we propose a multistate model that harmonizes the multiplicity of endpoints while allowing for a detailed understanding of treatment effect (4, 5) . Thus, we do not aim at giving recommendation on suitable endpoints, but rather on additional statistical analysis that provides major insights for endpoints within, for example, the COS of COMET.

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