Population Cancer Analytics

The Population Cancer Analytics Shared Resource (PCA-SR) is Case CCC’s centralized source of population data on cancer risk, burden, utilization patterns, costs, and outcomes. We serve as a singular source of data and expertise for members and others wishing to conduct hypothesis-driven and exploratory research on population-level cancer-related phenomena locally, regionally, or nationally; and we support center priority-setting, reporting, and outreach activities with catchment area intelligence. We continually develop the needed informatics and algorithmic infrastructure to support this work and strive to maintain an array of population data sources stemming from cancer registries, claims data, national surveys, and community-level databases. In the course of achieving these goals, we train the next generation of cancer prevention and control researchers by hosting learners at levels from undergraduate to MD and PhD.


a diagram of the five services PSC-AR provides

PCA-SR provides five categories of services. A focus on identifying and understanding cancer disparities crosscuts each.

  • Catchment Intelligence: Provide catchment population data analysis for Case CCC
  • Epidemiologic Studies: Support population and clinical epidemiologic studies using large databases
  • Health Services and Outcomes Research: Utilization, cost, and clinical outcomes studies
  • Training: Support undergraduate, MPH, MS, MD, PhD, MD/PhD students to assist with and lead projects
  • Infrastructure Development: Continually grow novel methods, data sources, metrics, and tools

Staff expertise spans complex data integration; retrospective epidemiologic, outcomes, and health services research methodology; mapping and geospatial analysis; and simulation modeling.

Service/Expertise Description
Ohio Cancer Assessment and Surveillance Engine (OH-CASE) data infrastructure Developed in-house. Spatially links community/health services data to patient-level demographic, disease, first-line treatment, and survival data for Ohioans with cancer by residential street address. [1996-2020]
Linked Ohio cancer registry/Medicare database and expertise Developed in-house. Ohio Cancer Incidence Surveillance System (OCISS) statewide registry data linked with claims/enrollment data for Medicare recipients diagnosed with cancer from 2012-2016.
Surveillance, Epidemiology, and End Results (SEER) access and expertise Demographic, disease, first-line treatment, and survival data for U.S. cancer patients—covers 48% of U.S. population.
Linked SEER-Medicare claims and enrollment database and expertise Enables research on treatment, utilization, cost, and outcomes for SEER registrants with fee-for-service Medicare. (Approximately 20 years data for prostate and hematologic cancer.*)
Linked SEER-Medicare-MDS data and expertise SEER-Medicare data linked to Minimum Data Set (MDS) comprehensive functional assessment data for all residents in Medicare or Medicaid-certified nursing facilities. Covers years 2012-2018.*
Linked SEER -MHOS database and expertise

SEER records linked to Medicare Health Outcomes Survey (MHOS) longitudinal survey data—designed to improve understanding of cancer patient and survivor health-related quality of life (HRQoL) among Medicare Advantage enrollees. [1999-2019*]

Enabled Holly Hartman, PhD, to secure ACS IRG funding. 

Healthcare Cost and Utilization Project (HCUP) database and expertise Hospital discharge data, National Inpatient Sample, and State Database (Inpatient, Ambulatory Surgery, and Emergency Department) for several states. Information on surgical procedures and outcomes in cancer patients. [1988-2021]
Linked cancer registry-Medicaid claims and enrollment data for Ohio and Los Angeles County Developed in-house in collaboration with Los Angeles SEER registry. Available 2024. [2016-2020]
University Hospitals Exposome Database Developing in-house. Neighborhood-level air and water emissions data for nearly 800 chemicals linked to residential street address histories (1998-2023) of 650,000 UH patients. Targeting mid-2024 completion. 

*Specific projects may require modification of our data use agreements.



  • $125/hour for Faculty time
  • $50/hour for Staff time

Long-term Projects

  • Proportionate salary support


Remember to acknowledge the valuable services provided by Cancer Center Shared Resources in your research papers and publications:

"This research was supported by the Population Cancer Analytics Shared Resource of the Case Comprehensive Cancer Center (P30CA043703)."

Contact for More Information

Director: Johnie Rose, MD, PhD

Co-Director: Siran Koroukian, PhD

Co-Director: Kurt Stange, MD, PhD