Risk-adjusted cross-sectional epidemiological study
A risk-adjusted cross-sectional epidemiological study measures the prevalence of health outcomes or exposures in a defined population at a single point in time, then applies statistical risk-adjustment methods — such as regression standardization, direct or indirect standardization, or propensity scoring — to remove the distorting influence of differences in patient case-mix across comparison groups. The approach is widely used in health services research, comparative effectiveness, and clinical quality assessment.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Kelsey, J. L., Whittemore, A. S., Evans, A. S., & Thompson, W. D. (1996). Methods in Observational Epidemiology (2nd ed.). Oxford University Press. · ISBN 978-0195083385
- Iezzoni, L. I. (Ed.). (2003). Risk Adjustment for Measuring Health Care Outcomes (3rd ed.). Health Administration Press. · ISBN 978-1567932140
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
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Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.