The Center for Health Statistics (CHS) collects and analyzes vital records and hospitalization data. Within CHS, The Linkage and Integrated Data Analysis unit and the Data Science and Engineering unit routinely perform linkage and analyses on a variety of topics that interact with these data.
We publish findings, methodological advancements and analyses via DOH reports, posters, videos, and peer-reviewed studies. Several areas of interest have been established with the intent of disseminating information to interested audiences.
Data Linkage Methodology
The Linkage and Integrated Data Analysis unit (LIDA) specializes in large scale machine learning data linkages. The unit emphasizes equitable representation and maximal accuracy in linkage practices.
2026
Improved Birth/CHARS Linkage: CHINCHILLA vs. UW BERD (PDF)
2025
Record Deduplication: Reference Pipeline and Common Pitfalls (PDF)
2024
Supervised Machine Learning Linkage: A Demo and Evaluation of Project ECHIDNA (PDF)
Introduction to Machine Learning, Vimeo Video
2023
Data Science, Statistics, and Analyses
CHS performs independent and collaborative analyses that involve vital record and hospitalization data. Reports produced by data scientists span multiple research topics.
2024
2023
Excess Deaths During the COVID-19 Pandemic and 2021 Heat Dome (PDF)
Understanding the Washington Excess Mortality in 2020 and 2021 Report (PDF)