English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

One key challenge of evaluating the effectiveness of opioid-related policies is to determine whether policy changes are associated with opioid prescription and usage. We explored this issue by employing a finite mixture of change point processes applied to US state-level opioid prescription data from 2006 to 2014. We identified clusters of states based on patterns of opioid prescription dosage per capita. The produced partitionings demonstrate some degree of geographic proximity when examined on the US map. Among the four drugs examined - methadone, buprenorphine, oxycodone, and hydrocodone – change points are detected for all drug classes except hydrocodone.

communications in statistics: case studies, data analysis and applications

Finite mixture modeling of change point processes to discover opioid prescribing patterns: A case study of automated reports and consolidated ordering system data