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Adjustment variables.
Adjustment variables included age (continuous variable) and study (disjoint indicators).
Adjustment variables: number of disease ≥ 3 and endocrine, alimentary and metabolic disease.
We assigned women with missing data for these adjustment variables to a separate category.
By summarizing and communicating assumptions about the causal structure of a problem, causal diagrams have helped clarify apparent paradoxes, describe common biases, and identify adjustment variables.
They were considered as adjustment variables.
The first model contained adjustment variables all measured at baseline.
See Table 14 for fuller details of adjustment variables.
We included age and sex as adjustment variables.
All adjustment variables were extracted from birth certificates.
The adjustment variables were those considered to be clinically relevant.
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