For each cohort, the true median and IQR of participant HbA1c values, along with the raw error observed when estimating these two quantities using GMI, OLSmgr, and the random forest (RF) model without accounting for prior HbA1c values. Compared to GMI, the OLSmgr and RF models more accurately estimate median HbA1c in cohorts with median HbA1c > 8%, with approximately similar performance in the remaining cohorts. Across cohorts, the OLSmgr and RF models estimate the IQR of participant HbA1c values approximately as accurately as GMI.