National Drug & Alcohol Research Centre, Faculty of Medicine, UNSW Sydney
Description: Longer retention in opioid agonist treatment (OAT) is associated with improved treatment outcomes, but 12-month retention rates are often low. Innovative approaches are needed to strengthen retention in OAT. This presentation will report findings from the development and comparison of traditional and deep learning-extensions of Cox regression predicting time in OAT at individuals’ first episode entry.
Chrianna Bharat is a Biostatistician and PhD Candidate based at the National Drug and Alcohol Research Centre (NDARC), UNSW Sydney. Currently in the final year of her PhD candidature, Ms Bharat’s thesis focuses on applying innovative analytical methods to evaluate medicines use and corresponding benefits/harms among people with opioid dependence, using data linkage studies and international surveys.
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