ROB2 helper-Bias Risk Assessment

Example

Evaluating the randomization process of an RCT to determine if it was truly random and concealed, ensuring an unbiased distribution of participants.

Scenario

In a study comparing two treatments for hypertension, ROB2 Helper assesses if the allocation sequence was adequately generated and concealed, thus avoiding selection bias.

Example

Assessing whether participants and caregivers were blinded to the intervention, and if any deviations from the protocol could have influenced the outcomes.

Scenario

Analyzing a diabetes management trial to determine if knowledge of the intervention type led to changes in behavior that could affect the study's results.

Example

Determining the impact of incomplete outcome data on the trial's results, including whether missingness could bias the effect estimate.

Scenario

In a clinical trial for a new cancer drug, ROB2 Helper examines the extent and reasons for missing outcome data to judge if it likely introduces bias.

Example

Evaluating how outcomes were measured and if knowledge of the assigned interventions could have influenced these measurements.

Scenario

Investigating a trial on the effectiveness of a physiotherapy regimen, focusing on whether the outcome assessors' knowledge of the intervention allocation influenced their reporting.

Example

Analyzing whether the reported results were selected based on their statistical significance or other factors that could introduce bias.

Scenario

Reviewing a study on antidepressant efficacy to ensure that the selection of reported outcomes was not influenced by their significance or direction, thus avoiding reporting bias.