Five Published OHDSI Studies Presented At Recent Community Call; Publication Dashboard Created To Track Papers, Authors

Through the first five months of 2022, the OHDSI community saw more than 40 studies published in peer-review journals that featured either the OMOP CDM or OHDSI tools, data networks and/or best practices. Five of these studies were presented during the June 14 OHDSI community call, including the first ever publication from the Asia-Pacific (APAC) workgroup.

Both video and slidedecks from each presentation are posted below. The call also introduced a new publication dashboard that is available to the community to track papers and authors from the community. This dashboard, which was developed by Paul Nagy and his team, is available here and within the menu atop the website (‘Publications’). A video description of the dashboard is also available below.

Analysis of Dual Combination Therapies Used in Treatment of Hypertension in a Multinational Cohort

PRESENTER
Yuan Lu • Assistant Professor, Yale University

Publication | Slides

Factors Influencing Background Incidence Rate Calculation: Systematic Empirical Evaluation Across an International Network of Observational Databases

PRESENTER
Anna Ostropolets • PhD Student, Columbia University

Publication | Slides

Logistic regression models for patient-level prediction based on massive observational data: Do we need all data?

PRESENTER
Henrik John • PhD Student, Erasmus University

Publication | Slides

Learning patient-level prediction models across multiple healthcare databases: evaluation of ensembles for increasing model transportability

PRESENTER
Jenna Reps • Associate Director, Johnson & Johnson

Publication | Slides

Prior-Preconditioned Conjugate Gradient Method for Accelerated Gibbs Sampling in “Large n, Large p” Bayesian Sparse Regression

PRESENTER
Aki Nishimura • Assistant Professor, Johns Hopkins University