bias-assessor

To add risk-of-bias assessment fields to a systematic review extraction table, use this Skill to automatically append and populate standardized columns like rob_selection and rob_reporting in your papers/extraction_table.csv file.

The standard rating scale for assessing risk of bias in research methodology is a consistent low, unclear, or high scale applied across predefined domains like selection, measurement, confounding, and reporting biases.

You standardize evidence quality evaluation for meta-analysis preparation by populating predefined risk-of-bias domains in your extraction table, ensuring consistency and auditability prior to data synthesis.

Yes, you can use this risk-of-bias assessment tool on an existing CSV extraction table by applying it directly to papers/extraction_table.csv to systematically evaluate the quality of each included study's methodology.

The specific bias domains evaluated during a systematic review risk assessment include selection bias, measurement bias, confounding bias, and reporting bias, alongside an overall risk assessment and notes field.

You need to perform a risk-of-bias assessment in a systematic review workflow after extracting data into papers/extraction_table.csv and before conducting meta-analysis or narrative synthesis to ensure evidence quality is auditable.