Selected article for: "control group and treatment group"

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_17
    Snippet: For the planning of novel trials, we urgently suggest to analyze the available data with the multistate model. Etiology of treatment can be additionally studied with cause-specific Cox regression for all possible transitions in the model (12) . Differences in duration of hospitalization and time spent under mechanical ventilation between treatment and control group can be modelled with the transition probabilities of the multistate model (13) . T.....
    Document: For the planning of novel trials, we urgently suggest to analyze the available data with the multistate model. Etiology of treatment can be additionally studied with cause-specific Cox regression for all possible transitions in the model (12) . Differences in duration of hospitalization and time spent under mechanical ventilation between treatment and control group can be modelled with the transition probabilities of the multistate model (13) . The model avoids common pitfalls such as competing risks bias when studying hospital mortality and immortal time bias when considering mechanical ventilation (14) .

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