How To Build and Interpret a Nomogram for Cancer Prognosis

American Society of Clinical Oncology (ASCO) - Tập 26 Số 8 - Trang 1364-1370 - 2008
Alexia Iasonos1, Deborah Schrag1, Ganesh V. Raj1, Katherine S. Panageas1
1From the Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY; and Department of Urology, University of Texas Southwestern Medical Center at Dallas, Dallas, TX

Tóm tắt

Nomograms are widely used for cancer prognosis, primarily because of their ability to reduce statistical predictive models into a single numerical estimate of the probability of an event, such as death or recurrence, that is tailored to the profile of an individual patient. User-friendly graphical interfaces for generating these estimates facilitate the use of nomograms during clinical encounters to inform clinical decision making. However, the statistical underpinnings of these models require careful scrutiny, and the degree of uncertainty surrounding the point estimates requires attention. This guide provides a nonstatistical audience with a methodological approach for building, interpreting, and using nomograms to estimate cancer prognosis or other health outcomes.

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Thông tin xuất bản

American Society of Clinical Oncology (ASCO)

Tập 26 Số 8

1364-1370

Thông tin tác giả