Faculty:
Martijn Schuemie, Patrick Ryan, Marc Suchard, Jamie Weaver
Target Audience:
This workshop is for researchers who want to design estimation studies for safety surveillance and comparative effectiveness using the OHDSI tools and programmers who want to implement and execute estimation studies using the OHDSI methods library.
Course prerequisites: knowledge of OMOP CDM and Vocabularies and either 1) epidemiologic knowledge understanding of how to define cohorts or 2) R programming skills.
The following videos were recorded during the fourth annual OHDSI symposium which took place October 11-13th, 2018. These recordings were made possible by generous support from EvidNet, Deloitte, Johnson & Johnson, and Bayer.
2018 OHDSI Population-Level Estimation Tutorial (1 of 6)
Introduction – Design and implementation of a comparative cohort study in observational healthcare
2018 OHDSI Population-Level Estimation Tutorial (2 of 6)
Dissecting a cohort study
2018 OHDSI Population-Level Estimation Tutorial (3 of 6)
Walkthrough of implementing a cohort study using OHDSI tools
2018 OHDSI Population-Level Estimation Tutorial (4 of 6)
The Cohort Method R package and review of code generated by ATLAS
2018 OHDSI Population-Level Estimation Tutorial (5 of 6)
Exercise:Collaborate on the design of a study
2018 OHDSI Population-Level Estimation Tutorial (6 of 6)
Wrap-Up
2018 OHDSI Population-Level Estimation Tutorial (1 of 6)
2018 OHDSI Population-Level Estimation Tutorial (2 of 6)
2018 OHDSI Population-Level Estimation Tutorial (3 of 6)
2018 OHDSI Population-Level Estimation Tutorial (4 of 6)
2018 OHDSI Population-Level Estimation Tutorial (5 of 6)
2018 OHDSI Population-Level Estimation Tutorial (6 of 6)
Tutorial Overview
Population-level Estimation Walk-thru
CohortMethod and Review of R code
Dissect a study (html)
Overview of the OHDSI Analysis Ecosystem
Patient-Level Prediction
Data Quality
Cohort Definition/Phenotyping
