We are pleased to announce a revised version of Version 2 of the ROBINS-I tool, posed on 20 November 2025. Note that this is still a draft version and is subject to change.
ROBINS-I V2 Nov 2025 full (PDF document) or ROBINS-I V2 Nov 2025 template (editable document)
The Risk Of Bias In Non-randomized Studies – of Interventions, Version 2 (ROBINS-I V2) aims to assess the risk of bias in a specific result from an individual non-randomized study that examines the effect of an intervention on an outcome. The document describes the ROBINS-I V2 tool for follow-up (cohort) studies. Please note that refinements to this version are likely as we respond to feedback on this release.
The development group for ROBINS-I V2 was led by Jonathan Sterne and Julian Higgins.
A key change is the addition of algorithms, which map answers to signalling questions onto proposed risk-of-bias judgements for each domain. A lot of the signalling questions have been revised to make them work better with these algorithms.
Some signalling questions now have more levels of response option: we introduced the idea of a “strong” yes (or no) versus a “weak” yes (or no) to replace the single "(Probably) yes" (or "no") response – these then lead to different risk-of-bias judgements.
A new ‘triage’ section (part B) provides a quick mapping to 'Critical risk of bias' when this is appropriate.
We refined specification of the effect of interest. We now determine that the study is estimating the per protocol effect if the analysis accounts for protocol deviations.
We dropped pre-specification of important co-interventions.
We dropped the domain on "deviations from intended intervention"
Domain 1 (confounding):
We improved the table for evaluation of confounding factors
The domain is split into two variants: one for addressing the intention-to-treat effect (when only baseline confounding needs to be addressed); and one for addressing the per-protocol effect (when both baseline and time-varying confounding need to be addressed)
Domain 2 (classification of intervention):
Renumbered from domain 3 to domain 2
We added new questions to address classification bias arising from immortal time
Domain 3 (selection into the study):
Renumbered from domain 2 to domain 3
We added new questions to address selection bias arising from immortal time
Domain 4 (missing data)
Renumbered from domain 5 to domain 4
We have reconceived this domain and much expanded it as a result of extensive discussions with missing data experts
Domain 5 (measurement of the outcome)
Renumbered from domain 6 to domain 5
Domain 6 (selection of reported result)
Renumbered from domain 7 to domain 6
We added a question on the availability of a pre-specified analysis plan
ROBINS-I V2 Nov 2024 (editable document) or ROBINS-I V2 Nov 2024 (PDF document)
A key change is the addition of algorithms, which map answers to signalling questions onto proposed risk-of-bias judgements for each domain. A lot of the signalling questions have been revised to make them work better with these algorithms.
Some signalling questions now have more levels of response option: we introduced the idea of a “strong” yes (or no) versus a “weak” yes (or no) to replace the single "(Probably) yes" (or "no") response – these then lead to different risk-of-bias judgements.
A new ‘triage’ section (part B) provides a quick mapping to 'Critical risk of bias' when this is appropriate.
We refined specification of the effect of interest. We now refer to “a per protocol effect” rather than “the per protocol effect” and require specification of what that per-protocol effect is.
We dropped pre-specification of important co-interventions
Domain 1 (confounding):
We improved the table for evaluation of confounding factors
The domain is split into two variants (one for addressing baseline confounding only; and one for addressing both baseline and time-varying confounding)
Domain 2 (classification of intervention):
We moved this domain up (it used to be Domain 3)
We added new questions to address classification bias arising from immortal time
Domain 3 (selection into the study):
We moved this domain down (it used to be Domain 2)
We added new questions to address selection bias arising from immortal time
Domain 4 (deviations from intended intervention)
The domain is now split into two variants (one when interest is in the intention-to-treat effect; and one for when interest is in a per-protocol effect)
We expanded the first variant (ITT effect) expanded so that it matches the RoB 2 tool
We dropped the question about co-interventions when addressing a per-protocol effect
Domain 5 (missing data)
We have reconceived this domain and much expanded it as a result of extensive discussions with missing data experts
Domain 7 (selection of reported result)
We added a question on the availability of a pre-specified analysis plan
Development of ROBINS-I V2 was funded in part by Medical Research Council (MRC) grant MR/M025209/1. Development involved members of the Cochrane Bias Methods Group and the Cochrane Non-Randomised Studies Methods Group.