Research

Research Interests 

Health services research, causal inference, quasi-experimental methods, cancer care delivery, insurance design and health policy, AI and machine learning in healthcare , vulnerable populations (e.g., Medicaid, Medicare, rural areas) 

Data

Claims,  cancer registry data, electronic health records (EHR), population-based health surveys (e.g., BRFSS, NHIS, MEPS)

Publications

• High-Cost Cancer Drug Use in Medicare Advantage and Traditional Medicare.

Cathy Bradley, Rifei Liang, Richard Lindrooth, Lindsay Sabik, Marcelo Perraillon

JAMA Health Forum, 2025

• Building Data Infrastructure for Disease-Focused Health Economics Research

Cathy Bradley, Rifei Liang, Richard Lindrooth, Lindsay Sabik, Marcelo Perraillon

Medical Care, 2023

• Lack of Adherence to Guideline-Based Imaging Before Subsequent Radiation in Patients with Non–Small Cell Lung Cancer: Impact on Patient Outcomes

Emily Sterbis, Rifei Liang, Premal Trivedi, Jennifer Kwak, Erica Cohen Major, Sana D Karam, Rustain L Morgan

The Journal of Nuclear Medicine, 2023

• Treatment Disparities in Radiation and Hormone Therapy Among Women Covered by Medicaid vs Private Insurance in Cancer Registry and Claims Data

Cathy Bradley, Lindsay Sabik, Rifei Liang, Richard Lindrooth, Marcelo Perraillon

JAMA Health Forum, 2023

• Cancer Treatment Data in Central Cancer Registries: When Are Supplemental Data Needed?

Cathy Bradley, Rifei Liang, Jagar Jasem, Richard Lindrooth, Lindsay Sabik, Marcelo Perraillon

Cancer Informatics, 2022

• The role of all-payer claims databases to expand central cancer registries: Experience from Colorado

Marcelo Perraillon, Rifei Liang, Lindsay Sabik, Richard Lindrooth, Cathy Bradley

Health Services Research, 2021

Working papers

• Leveraging Population-Level and Multi-Payer Claims Data to Estimate Changes in Prostate Cancer Screening at the Small-Area Level

Rifei Liang, Elizabeth Juarez-Colunga, Marcelo Perraillon

Under review at JCO Clinical Cancer Informatics

• Between-Practices Spillover Effects of the Oncology Care Model using Colorado All-Payer Claims Data

Rifei Liang & Richard Lindrooth

In manuscript

Presentations

• Leveraging Population-Level and Multi-Payer Claims Data to Estimate Changes in Prostate Cancer Screening at the Small-Area Level.

Poster section in the Colorado Pragmatic Research in Health Conference (COPRH Con), June 2025.

• Between Practice Traditional Medicare Spillover Effects of the Oncology Care Model to Non-Traditional Medicare Patients: Evidence from

Colorado. Poster section in the ColoradoSPH Research Exchange Event, September 2024.

• Assessing the Accuracy of Primary Payer Information in Cancer Registry Data for Disparities Research. 

Poster section in the ColoradoSPH Research Exchange Event, September 2022

• Assessing the Accuracy of Primary Payer Information in Cancer Registry Data: The Colorado Experience.

Oral presentation: NAACCR Summer Forum, virtual, June 2022.