Causal bayesian machine learning to assess treatment effect heterogeneity by dexamethasone dose for patients with covid-19 and severe hypoxemia

HIGHLIGHTS

• who: Bryan S. Blette from the DepartmentUniversity of have published the paper: Causal Bayesian machine learning to assess treatment effect heterogeneity by dexamethasone dose for patients with COVID-19 and severe hypoxemia, in the Journal: Scientific Reports Scientific Reports of 27/08/2020
• what: It was conducted according to a statistical analysis plan, which was written after the pre-planned analyses of the trial were reported, but before any of the analyses reported in this manuscript were conducted (https://u200bosf.u200bio/u200b2mdqn/). The analysis was performed under the ITT paradigm; compliance issues were considered minimal . . .
  

   

  

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