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Chapter 1: Transforming Medicaid and CHIP Data for Use with the FDA’s Sentinel Common Data Model

Chapter 6: Prenatal and Congenital Syphilis in the US: Characterizing Screening and Treatment

Chapter 4: Data Quality Metrics in US Medicaid Data: Results from Sentinel’s Medicaid Data Mart

Chapter 3: Creating a Mother-Infant Linkage Using TAF Data in the Sentinel Common Data Model

Chapter 5: Feasibility of Using the FHIR Specification to Enable EHR Data Linkage with Claims

Chapter 2: Transforming Medicaid and CHIP Data for Use with OMOP Common Data Model

Health Information Exchanges

Assessing Treatment Effects in Observational Data with Missing Confounders: A Comparative Study

Overview of CDER’s Real-World Evidence Demonstration Projects

Opportunities and Challenges in Use of the Language Models for Post Market Surveillance of Products

A PRocess guide for INferential Studies Using Healthcare Data from Routine Clinical Practice

Data Driven Automated Classification Algorithms for Health Conditions Applying PheNorm to COVID

Scalable Incident Detection via Natural Language Processing and Probabilistic Language Models

Leveraging Missing Data and Measurement Error Approaches in Propensity Score Based Analyses

Multi-Wave Validation Sampling to Improve Estimates Derived from Electronic Health Record Data

FDA Sentinel EHR v. Claims

2023 Sentinel Public Training Day l 11th April, 2023

2023 Innovation Day | 12th April, 2023

Ontology-Driven Weak Supervision: Clinical Entity Classification |Nigam H. Shah, MBBS, PhD| 2282023

Identification & mitigation of source mapping issues - StructuredEHR data|Keith Marsolo, PhD|1.23.23

Machine Learning in Distributed Data Networks like the Sentinel System|Jenna Wong, PhD, MSc|12162022

Addressing missing data:Comparative effectiveness research-EHR data| Sebastien Haneuse, PhD|09262022

An Overview of Sentinel's Publicly Available Analytics Tools

Machine Learning for High-dimensional Proxy Covariate Adjustment | Richard Wyss, PhD, MSc | 09122022

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