Description of Collaborative Activity: |
The Meta-Analytical Interagency Group is an academic research collaboration between NHLBI, FDA and 2 other NIH institutions. This research collaboration is built among physician scientists, clinical trialists and data scientists from those agencies. MATIG's goal is to use data mining and machine learning tools and techniques for secondary analyses of clinical trials in order to maximize the use of data generated through clinical studies and highlight their public health value.
Other goals are to use publicly available patient-level data in BioLINCC for secondary- and meta-analyses to:
1) Assess hard outcomes in atherosclerotic and cardiometabolic disorders like diabetes, coronary artery disease and heart failure.
2) Determine gender, racial, and age group differences in efficacy, outcome, and utility of the interventions tested in the trials.
3) Promote the value of combining patient-level clinical trial data in meta-analysis.
4) Establish access to other publicly available datasets like EHR/EMR.
5) Foster hypothesis generation by novel analyses through a multidisciplinary collaboration.
6) Provide mentorship and training for students, scientists, and clinicians in today’s data science. |
Type of Collaborative Activity: |
Committee, Advisory Group, or Work Group
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