This NAACCR Talk will provide three different perspectives on the NCI funded National Childhood Cancer Registry (NCCR). This talk will cover the history and context of NCCR as well as training on the data products needed. Participants will come away with an understanding of the strengths and limitations of the NCCR data products in order to support appropriate and meaningful analyses. Presentations: Introduction to the National Childhood Cancer Registry (NCCR) Presented by Stephanie Hill, MPH, ODS, NAACCR From Exploration to Analysis: Using NCCR Data Products End-to-End Presented by Fernanda Silva Michels, MSc, PhD, ODS-C, NAACCR Best Practices for Managing Data Sets from the National Childhood Cancer Registry (NCCR) Data Platform Presented by Rebecca Ottesen, MS, Dana-Farber Cancer Institute

The NAACCR ODS Exam Prep and Review Webinar Series offers online interactive instruction with live instructors. The course includes eight 2-hour sessions carefully prepared to reflect the changes to the 2026 ODS exam.

This webinar will provide an update on this year's CFD processes. It is critical that a minimum of on representative per registry join this webinar. Overall processes as well as updates will be covered.

This webinar is a high level recap of some of the changes that are occurring with 2026 cases. We are also going to review changes made to the Solid Tumor Manual with v26.1 release.

This training session focus on Non-Hodgkin and Hodgkin Lymphomas using the PDCS.

The NAACCR Pediatric SSDI Working Group designed virtual training modules to assist registrars in collecting pediatric staging data elements as part of the new Pediatric Data Collection System (PDCS). Each session focuses on a specific cancer site.

Learn how the Median/Multiple Outlier Testing Method (MMOT) can transform cancer registry data quality assessment. This session introduces the method developed by the National Cancer Institute’s Surveillance Research Program, Surveillance, Epidemiology, and End Results (NCI-SRP-SEER) and shows how it is applied within NAACCR using CiNA data to evaluate completeness across registries. Learn how to benchmark your registry against others and how to implement MMOT internally in your central cancer registry as part of routine quality control processes

Cancer registries and surveillance programs face a persistent challenge: the spatial and temporal dimensions of cancer incidence and mortality are analyzed in separate, often incompatible tools - SaTScan for cluster detection, NCI Joinpoint for trend analysis, ArcGIS for mapping, etc - with insufficient integration and no statistical guidance on method selection. This fragmented workflow consumes expert time, limits what junior analysts can do independently, and leaves critical geographic questions unanswered. Vesta is a unified geospatial analysis platform developed by BioMedware that brings together spatial cluster detection, geostatistical modeling, spatial joinpoint regression, and AI-guided method selection in a single environment purpose-built for cancer epidemiologists. Developed over three decades of NIH- and NCI-funded research, Vesta's methods are grounded in peer-reviewed geostatistics and designed to produce publication-ready, defensible results - without requiring GIS expertise. In this session, Dr. Geoff Jacquez will present the conceptual framework for integrated geospatial cancer analysis, and Dr. Pierre Goovaerts will lead a live demonstration of Vesta using real cancer data - your workflow challenges and feature priorities, gathered through survey and small group discussion, will feed directly into the BioMedware development roadmap.

Presentations: "Gentle Introduction to “AI” for Cancer Data Analysis" Tesla DuBois, Senior Clinical Data Scientist, Jefferson Cancer Center "How AK is using AI to help process MDI case finding linkages, show excel/SAS/SQL examples—malfunctions" Julie Cleaton, Public Health Data Analyst, Alaska Cancer Registry

This Epi ‘Hour’ will be a quick introduction to using JMP software. While JMP has a wide range of statistical analysis types built into the graphical user interface (GUI), the Epi ‘Hour’ will focus on the Graph builder platform in JMP. CiNA public data will be used to demonstrate various graphs including scatterplots, bar charts, line of fit, smoother, and maps.