Corrigendum to ‘Identifying type 1 and 2 diabetes in research datasets where classification biomarkers are unavailable: assessing the accuracy of published approaches’ [Journal of Clinical Epidemiology (2023) 34-44]

The authors regret that the website link to the tool referred to on page 35 and 40 of the article was incorrect  in the published version. The correct weblink for the tool is: https://newcastlerse.github.io/turing-diabetes-classification/welcome. In addition the publishers had inserted an incorrect expansion for the abbreviation BMI in the article abstract – this should read ‘Body Mass Index’ not ‘B ody Image Issue’

Source: Journal of Clinical Epidemiology - June 12, 2023 Category: Epidemiology Authors: Nicholas J. Thomas, Andrew McGovern, Katherine G. Young, Seth A. Sharp, Michael N. Weedon, Andrew T. Hattersley, John Dennis, Angus G. Jones Tags: Corrigendum Source Type: research