The DOI matches its Crossref record.
Analysis of survival by tumor response.
Abstract
The common practice of comparing the survival of responders and nonresponders when reporting the results of cancer chemotherapy treatment is investigated. The usual method of comparing responders and nonresponders is biased in favor of responders, and these results are frequently misinterpreted as providing evidence that response prolongs survival, or that the treatment under study is effective. Two valid methods for comparing responders and nonresponders are discussed and recommendations are made concerning the analysis of survival by response. A comparison of survival by response category may be useful descriptively, but such a comparison should not be used for inference concerning treatment effectiveness.
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Liu, J., Lichtenberg, T., Hoadley, K. A., Poisson, L. M., Lazar, A. J., Cherniack, A. D., Kovatich, A. J., Benz, C. C., Levine, D. A., Lee, A. V., et al. (2018) · Cell · doi:10.1016/j.cell.2018.02.052 · Cited by 3,725
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Topp, M. S., Gökbuget, N., Stein, A. S., Zugmaier, G., O'Brien, S., Bargou, R. C., Dombret, H., Fielding, A. K., Heffner, L., Larson, R. A., et al. (2015) · The Lancet Oncology · doi:10.1016/s1470-2045(14)71170-2 · Cited by 1,269
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Metadata
- Authors
- Anderson, J. R., Cain, K. C., & Gelber, R. D.
- Venue
- Journal of Clinical Oncology
- Published
- 1983-11
- Volume
- 1
- Issue
- 11
- Pages
- 710-719
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W4239330499
- Cited by
- 1,107
- References
- 0
- FWCI
- 5.35
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Analysis of survival by tumor response. https://app.cochat.ai/papers/10.1200/jco.1983.1.11.710
- The paper
- Anderson, J. R., Cain, K. C., & Gelber, R. D. (1983). Analysis of survival by tumor response. Journal of Clinical Oncology. https://doi.org/10.1200/jco.1983.1.11.710
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
