Observational Health Data Sciences and Informatics

All ATLAS documentation has moved to GitHub. Please disregard the content below as it is legacy and kept for posterity.

ATLAS has the ability to perform estimation studies using the comparative cohort design. The feature can be accessed by clicking on Estimation in the left menu.

The estimation procedure in ATLAS uses the propensity score methodology. There are 3 main outcome models generated using the estimation feature in ATLAS - logistic regression; poisson regression; and cox proportional hazards.

There are inputs required to design the outcome model and as such several video tutorials are available to understand and learn the estimation feature in ATLAS:

• OHDSI Estimation Methods Tutorial - Part 1https://youtu.be/jwHlVTxDPIY
• OHDSI Estimation Methods Tutorial - Part 2https://youtu.be/_lSOIi3TXtY
• OHDSI Estimation Methods Tutorial - Part 3https://youtu.be/qywULqu0lvM
• OHDSI Estimation Methods Tutorial - Programmer Track (Part 4)https://youtu.be/kgSxmhKptjk
• OHDSI Estimation Methods Tutorial – Study Programmer (Part 4)https://youtu.be/d4WjAkNWe8Y
• OHDSI Estimation Methods Tutorial Programmer Track - Part 4https://youtu.be/-mE9x-WO45Q
• OHDSI Estimation Methods Tutorial - Part 5https://youtu.be/cjc9H1aWq40