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Multinomial linear regression A series of linear models (estimated using ordinary least squares (OLS) regression) were fitted in R to predict each outcome variable of interest, using HEIC-PA, HEIC-FE, as well as all other outcome variables plus age at assessment, sex, and area-level socioeconomic deprivation as predictor variables

Key Parameters Controlled During Rod Formation Advanced sensors constantly monitor these parameters to reduce variation

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