More on MIDRC data representativeness.

Last updated January 23, 2024

There currently are 2 seminars specific to measuring MIDRC data representativeness  and associated tools on the MIDRC YouTube channel.

Below are snapshots of MIDRC data: number of cases and data representativeness in terms of demographics as well as longitudinal data (changes over time). The JSD, i.e., the Jensen-Shannon divergence, is a is a method of measuring the similarity between two probability distributions. A JSD of zero indicates ‘perfect’ similarity’, while a JSD of 1 indicates the lowest possible similarity. Our free open-source MIDRC-REACT (representativeness exploration and comparison tool) is available for download!

Graphic of number of patients and clinical sites represented in MIDRC over time

Spider (radar) chart of JSD for several attributes with respect to US Census and CDC distributions
JSD for age at index attribute over time
JSD for sex attribute over time
Graph of JSD for race attribute over time
Graph for ethnicity attribute over time
Composition in terms of age groups over time
Composition in terms of race over time
Composition in terms of intersectional race and ethnicity over time
Composition in terms of ethnicity over time
Composition in terms of sex over time