Probably Approximately Correct Causal Discovery: With Applications to Adverse Drug Events and Computational Repurposing from Electronic Health Records

Thurston Arthritis Research Center/UNC Center for Core Clinical Research Speaker Series Featuring: David Page, PhD Chair, Department of Biostatistics and Bioinformatics Duke University  “Probably Approximately Correct Causal Discovery: With Applications to Adverse Drug Events and Computational Repurposing from Electronic Health Records” Wednesday, April 29 10:00 a.m. View presentation online Contact Betsy Hackney with any questions.

Causal Inference: A Gentle Introduction

Thurston Arthritis Research Center/UNC Center for Core Clinical Research Speaker Series Michael Hudgens, PhD Professor, Department of Biostatistics UNC-Chapel Hill Director of the Biostatistics Core of the UNC Center for... Read more »

An introduction to implementation science: Speeding the translation of effective interventions to wide-scale practice

Thurston Arthritis Research Center/UNC Center for Core Clinical Research Speaker Series Featuring: Jennifer Leeman, DrPH, MPH, MDIV Associate Professor, UNC School of Nursing "An Introduction to implementation science: Speeding the translation of effective interventions to wide-scale practice" Wednesday, May 27 9:30-10:30 a.m. Registration required. Contact Council Mintz with any questions.

UNC Core Center for Clinical Research 101 Introductory Series: “Approach to the Patient with Joint Pain”

Please join the UNC Core Center for Clinical Research for their next presenter in their 101 introductory series! These presentations are designed to introduce students, clinicians, researchers and everyone in between to various clinical topics in rheumatology, as well as methods and methodological issues in clinical research. Dr. Beth Jonas will be discussing "Approach to... Read more »

Machine Learning Tools & Precision Medicine in Arthritis & Autoimmunity

Machine learning analysis methods offer the opportunity to integrate and learn from large amounts of biological, clinical, and environmental data. During this session, clinicians and researchers will discuss examples of how machine learning tools have been applied in arthritis and autoimmune disease. This session will feature an overview of machine learning and its application to... Read more »

Machine Learning Tools & Precision Medicine in Clinical Research

Machine learning analysis methods offer the opportunity to integrate and learn from large amounts of biological, clinical, and environmental data. During this session, clinicians and researchers will explore the use of machine learning tools and precision medicine techniques in clinical research. This session will feature an overview of machine learning tools in the field of... Read more »