The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
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.
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Cites
Regression shrinkage and selection via the lasso
Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1996.tb02080.x · Cited by 51,482
Cited by
Moons, K. G. M., Altman, D. G., Reitsma, J. B., Ioannidis, J. P. A., Macaskill, P., Steyerberg, E. W., Vickers, A. J., Ransohoff, D. F., & Collins, G. S. (2015) · Annals of Internal Medicine · doi:10.7326/m14-0698 · Cited by 5,147
Liang, W., Liang, H., Ou, L., Chen, B., Chen, A., Li, C., Li, Y., Guan, W., Sang, L., Lu, J., et al. (2020) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2020.2033 · Cited by 1,387
Liang, W., Zhang, L., Jiang, G., Wang, Q., Liu, L., Liu, D., Wang, Z., Zhu, Z., Deng, Q., Xiong, X., et al. (2015) · Journal of Clinical Oncology · doi:10.1200/jco.2014.56.6661 · Cited by 649
From past to future: Bibliometric analysis of global research productivity on nomogram (2000–2021)
Wang, X., Lu, J., Song, Z., Zhou, Y., Liu, T., & Zhang, D. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.997713 · Cited by 140
“With development of biostatistics methodology and the increasing dependence of clinical research on statistical methods, increasingly more statistical predictive models have been widely used in various aspects of clinical research, such as screening of influencing factors, diagnostic tests, prognostic evaluation, and…”
MethodWang, Y., Zhao, Z.-J., Kang, X.-R., Bian, T., Shen, Z.-M., Jiang, Y., Sun, B., Hu, H.-B., & Chen, Y.-S. (2020) · Aging · doi:10.18632/aging.104095 · Cited by 85
Metadata
- Authors
- Iasonos, A., Schrag, D., Raj, G. V., & Panageas, K. S.
- Venue
- Journal of Clinical Oncology
- Published
- 2008-03-10
- Volume
- 26
- Issue
- 8
- Pages
- 1364-1370
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2091415498
- Cited by
- 3,222
- References
- 1
- FWCI
- 14.59
- Type
- journal article
- Language
- en
- Open access
- closed
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- Iasonos, A., Schrag, D., Raj, G. V., & Panageas, K. S. (2008). How To Build and Interpret a Nomogram for Cancer Prognosis. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2007.12.9791
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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