Participant-data synthesis specification
Model participants within study structures
Specify study structure in both one-stage and two-stage approaches. The two-stage equation is illustrative; model choice, interactions and missingness need their own specifications.
Flow diagram
Steps
Define participant-level estimands
Specify outcomes, treatment comparisons and covariate interactions.
Choose one-stage or two-stage approach
Justify study clustering, heterogeneity and model structure.
Separate within-study and between-study effects
Preserve randomization and avoid ecological interpretations of participant interactions.
Specify missingness and aggregate integration
Explain whether aggregate-only studies contribute and under which assumptions.
Plan estimation and outputs
Define uncertainty, model diagnostics and study-specific contributions.
Participant-data synthesis specification
End flow
Tables and supporting information
IPD model specification
Specify models without automatically pooling participant rows.
Assumptions and rationale
Treating all participants as one unclustered study loses study structure and can change the estimand.
Method and protocol evidence
Attach the protocol, methodological sources and versioned software specification supporting these decisions. Record citations and provenance; do not enter participant identifiers.
Two-stage synthesis notation
Estimate beta_j within study j, then combine compatible effects with model-specific weights w_j. Preserve study structure and specify uncertainty; this does not define a one-stage model.