Authors: | Iasonos, A.; Schrag, D.; Raj, G. V.; Panageas, K. S. |
Article Title: | How to build and interpret a nomogram for cancer prognosis |
Abstract: | 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. © 2008 by American Society of Clinical Oncology. |
Keywords: | review; cancer recurrence; cancer patient; outcome assessment; methodology; neoplasm; neoplasms; medical decision making; computer interface; cancer mortality; outcome assessment (health care); probability; nomograms; malignant neoplastic disease; statistical model; nomogram; uncertainty |
Journal Title: | Journal of Clinical Oncology |
Volume: | 26 |
Issue: | 8 |
ISSN: | 0732-183X |
Publisher: | American Society of Clinical Oncology |
Date Published: | 2008-03-01 |
Start Page: | 1364 |
End Page: | 1370 |
Language: | English |
DOI: | 10.1200/jco.2007.12.9791 |
PUBMED: | 18323559 |
PROVIDER: | scopus |
DOI/URL: | |
Notes: | --- - "Cited By (since 1996): 14" - "Export Date: 17 November 2011" - "CODEN: JCOND" - "Source: Scopus" |