Related Experiment Video
Updated: Sep 29, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Patient demographic and socioeconomic characteristics in the SEER-Medicare database applications and limitations
Peter B Bach1, Edward Guadagnoli, Deborah Schrag
1Health Outcomes Research Group, Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York 10021, USA. bachp@mskcc.org
Abstract:
Users of the linked SEER-Medicare database commonly perform analyses that focus on the complex interactions among patient characteristics, cancer treatments, and outcomes. The authors review the source and scope of the patient-specific data elements, with a focus on three domains--demographic characteristics, socioeconomic characteristics, and survival status. They offer some concrete recommendations regarding the use of these data elements. In particular, they describe analyses that provide an estimate of the accuracy of the sex and age variables, and raise some cautionary notes about race and ethnicity variables. The authors describe the available measures of socioeconomic status, and recommend, with some caveats, the use of median income measures as a proxy for socioeconomic status. Finally, they describe the available data on date of death, and explain why confidence in these measures is justified.
Related Concept Videos
Kaplan-Meier Approach
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Excretion
Analysis of Population Pharmacokinetic Data
Methods of Documentation VI: Case Management Model
For example, a patient with a chronic illness...
Bias in Epidemiological Studies
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Metabolism