What research frameworks are supported?

The skill supports Cochrane RoB 2 for RCTs, ROBINS-I for non-randomized studies, QUADAS-2 for diagnostic studies, and QUIPS for prognostic studies.

Does it integrate with other AI scientist tools?

Yes, it is intended to be used with literature-reviewer agents for comprehensive and automated systematic quality assessments.

Can this skill be used for systematic reviews?

Yes, it is specifically designed for conducting systematic reviews, evaluating study quality, and planning meta-analyses.

How does it categorize bias levels?

It provides standardized risk levels including Low (minimal bias), Some concerns (potential bias), and High (serious bias likely) based on domain-specific evidence.

What domains does it evaluate for RCTs?

It assesses the randomization process, deviations from intended interventions, missing outcome data, measurement of the outcome, and selection of the reported result.

Risk of Bias Assessment

Name: Risk of Bias Assessment
Author: astoreyai

byastoreyai

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データサイエンスとML

Evaluates methodological quality and potential bias in research studies using standardized frameworks like RoB 2 and ROBINS-I.

概要

The Risk of Bias Assessment skill automates the critical appraisal of scientific literature, helping researchers determine the validity of study findings. It systematically checks for biases in randomization, intervention deviations, missing data, and selective reporting across various study designs including RCTs and non-randomized trials. By integrating domain-specific frameworks like Cochrane RoB 2 and QUADAS-2, it streamlines systematic reviews and meta-analysis planning, ensuring high-quality evidence synthesis for GRADE assessments.

主な機能

Support for ROBINS-I, QUADAS-2, and QUIPS frameworks
Standardized risk level categorization (Low, Some Concerns, High)
2 GitHub stars
Systematic analysis of selective reporting and outcome measurement
Seamless integration with literature review automation workflows
Automated RoB 2 domain evaluation for RCTs

ユースケース

Conducting systematic reviews for academic publishing
Evaluating study quality for meta-analysis planning
Performing GRADE evidence quality assessments

概要

主な機能

Support for ROBINS-I, QUADAS-2, and QUIPS frameworks
Standardized risk level categorization (Low, Some Concerns, High)
2 GitHub stars
Systematic analysis of selective reporting and outcome measurement
Seamless integration with literature review automation workflows
Automated RoB 2 domain evaluation for RCTs

ユースケース

Conducting systematic reviews for academic publishing
Evaluating study quality for meta-analysis planning
Performing GRADE evidence quality assessments