State ‐level estimation of diabetes and prediabetes prevalence: Combining national and local survey data and clinical data

This article illustrates how to adjust and combine multiple data set s, namely, national surveys, state‐level surveys, claims data, and electronic health record data, to improve estimates of diabetes and prediabetes prevalence, along with the estimates of the method's accuracy. We demonstrate and validate the method using data from three jurisdictions (Alabama, Cal ifornia, and New York City). This method can be applied more generally to other areas and other data sources.

Source: Statistics in Medicine - October 28, 2018 Category: Statistics Authors: David A. Marker, Russ Mardon, Frank Jenkins, Joanne Campione, Jennifer Nooney, Jane Li, Sharon Saydeh, Xuanping Zhang, Sundar Shrestha, Deborah Rolka Tags: RESEARCH ARTICLE Source Type: research