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OHDSI US 2019: 2 - Building Confidence In R-W Data: Data Quality Reporting (Williams/Blacketer)
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Andrew Williams, PhD and Clair Blacketer, MPH, PMP open the morning plenary session by discussing data quality and how to trust data for research. Data Quality Dashboards are introduced as an innovation to build confidence in the data in the OMOP CDM.
0:39:28
OHDSI US 2019: 2 - Building Confidence In R-W Data: Data Quality Reporting (Williams/Blacketer)
1:36:47
2019 OHDSI Tutorials - Extraction, Transformation, and Load Process (ETL) (2 of 3)
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OHDSI US 2019: 6B - OMOP CDM Oncology Module at Work
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2019 OHDSI Tutorials - Data Quality (2 of 3)
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OHDSI US 2019: 1 - This Is Our Community (Hripcsak/Krumholz)
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2019 OHDSI Tutorials - Patient-Level Prediction (2 of 5)
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OHDSI US 2019: 6D - OHDSI-enabled distributed network analysis for clinical trial feasibility
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2 The Observational Health Data Sciences and Informatics OHDSI Initiative
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2018 OHDSI Symposium- Large Scale Evidence Generator and Evaluation of Network of Databases (LEGEND)
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OHDSI US 2019: 4 - Proving Reliable Real-World Evidence: Replicating RCTs using LEGEND (Ryan)
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2019 OHDSI Tutorials - Cohort Definition & Phenotyping (2 of 3)
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Get To Know What OHDSI Is All About
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8 Data to Evidence - OHDSI in Action!
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2019 OHDSI Tutorials - Extraction, Transformation, and Load Process (ETL) (3 of 3)
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2019 OHDSI Tutorials - Patient-Level Prediction (1 of 5)
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OHDSI COVID-19 Study-A-Thon • Global Closing Call
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OHDSI US 2019: 3 - Establishing Scientific Best Practices For Real World Analysis (Schuemie)
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2019 OHDSI Tutorials - Cohort Definition & Phenotyping (1 of 3)
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TUE WO 4 PEDSnet Data Quality
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