Selected article for: "assignment effect and critical risk"

Author: Rocio Bravo Jeria; Maria X Rojas Reyes; Juan V Franco; Maria P Acuna; Luz A Torres Lopez; Gabriel rada Rada
Title: Chloroquine and hydroxychloroquine for the treatment of COVID-19: A living systematic review protocol
  • Document date: 2020_4_8
  • ID: fckn8ld4_50
    Snippet: We will assess their risks of bias with the Risk Of Bias In Non-randomised Studies of Interventions (ROBINS-I), a tool for assessing risk of bias in non-randomised studies of interventions [29] . We will assess the following domains: bias due to confounding, bias in selection of participants into the study, bias in classification of interventions, bias due to deviations from intended interventions (effect of assignment to intervention), bias due .....
    Document: We will assess their risks of bias with the Risk Of Bias In Non-randomised Studies of Interventions (ROBINS-I), a tool for assessing risk of bias in non-randomised studies of interventions [29] . We will assess the following domains: bias due to confounding, bias in selection of participants into the study, bias in classification of interventions, bias due to deviations from intended interventions (effect of assignment to intervention), bias due to missing data, bias in measurement of outcomes and bias in the selection of the reported result. We will judge each domain as low risk, moderate risk, serious risk, critical risk, or no information, and evaluate individual bias items as described in ROBINS-I guidance. We will not consider time-varying confounding, as these confounders are not relevant in this setting [29] . We will consider the following factors as baseline potential confounders:

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