 Connection
Co-Authors
This is a "connection" page, showing publications co-authored by Michael Cucciare and Bradley Martin.
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Connection Strength |
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0.603 |
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Hayes CJ, Raciborski RA, Martin BC, Gordon AJ, Hudson TJ, Brown CC, Pro G, Cucciare MA. Are gaps in rates of retention on buprenorphine for treatment of opioid use disorder closing among veterans across different races and ethnicities? A retrospective cohort study. J Subst Use Addict Treat. 2024 Nov; 166:209461.
Score: 0.246
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Hayes CJ, Bin Noor N, Raciborski RA, Martin BC, Gordon AJ, Hoggatt KJ, Hudson T, Cucciare MA. Development and validation of machine-learning algorithms predicting retention, overdoses, and all-cause mortality among US military veterans treated with buprenorphine for opioid use disorder. J Addict Dis. 2024 06 30; 1-18.
Score: 0.244
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Hayes CJ, Martin BC, Hoggatt KJ, Cucciare MA, Hudson TJ, Gordon AJ. Average Daily Dose Trajectories for Episodes of Buprenorphine Treatment for Opioid Use Disorder. Subst Use Addctn J. 2024 Jul 28; 29767342241263161.
Score: 0.061
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Hayes CJ, Cucciare MA, Martin BC, Hudson TJ, Bush K, Lo-Ciganic W, Yu H, Charron E, Gordon AJ. Using data science to improve outcomes for persons with opioid use disorder. Subst Abus. 2022; 43(1):956-963.
Score: 0.051
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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