Prevalent cases in observational studies of cancer survival: do they bias hazard ratio estimates?

However, these differences might be expected if the PH assumption is violated; each prognostic factor had highly significant tests for PH assumption violation based on Schoenfeld residuals in model (c) ( P <0.0001).

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survival analysis prevalent cases left truncation breast cancer pmc-status-qastatus 0 pmc-status-live yes pmc-status-embargo no pmc-status-released yes pmc-prop-open-access yes pmc-prop-olf no pmc-prop-manuscript no pmc-prop-legally-suppressed no pmc-prop-has-pdf yes pmc-prop-has-supplement no pmc-prop-pdf-only no pmc-prop-suppress-copyright no pmc-prop-is-real-version no pmc-prop-is-scanned-article no pmc-prop-preprint no pmc-prop-in-epmc yes pmc-license-ref CC BY Observational epidemiological studies of cancer are commonly used to study factors that influence disease risk, with an increasing trend to extend them to study molecular factors that influence prognosis.

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