The DOI matches its Crossref record.
Survivorship Analysis for Clinical Studies.
Abstract
Written for clinicians and biostatisticians, describes nonparametric and quasiparametric (regression) methods of analyzing survivorship data in clinical studies, emphasizing the interpretation and reasoning behind the methods. Explains the established methods for summarizing the results of the major
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Citations
Cited by
Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence
Singer, J. D., & Willett, J. B. (2003) · doi:10.1093/acprof:oso/9780195152968.001.0001 · Cited by 10,647
Foxman, B., Barlow, R., D'Arcy, H., Gillespie, B., & Sobel, J. D. (2000) · Annals of Epidemiology · doi:10.1016/s1047-2797(00)00072-7 · Cited by 1,447
Hasford, J., Pfirrmann, M., Hehlmann, R., Allan, N. C., Baccarani, M., Kluin-Nelemans, J. C., Alimena, G., Steegmann, J. L., & Ansari, H. (1998) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/90.11.850 · Cited by 819
Parental transmission of type 2 diabetes: the Framingham Offspring Study
Meigs, J. B., Cupples, L. A., & Wilson, P. W. (2000) · Diabetes · doi:10.2337/diabetes.49.12.2201 · Cited by 666
Pollack, A., Zagars, G. K., Smith, L. G., Lee, J. J., von Eschenbach, A. C., Antolak, J. A., Starkschall, G., & Rosen, I. (2000) · Journal of Clinical Oncology · doi:10.1200/jco.2000.18.23.3904 · Cited by 521
Metadata
- Authors
- Fayers, P., Harris, E. K., & Albert, A.
- Venue
- Applied Statistics
- Publisher
- JSTOR
- Published
- 1992
- Volume
- 41
- Issue
- 3
- Pages
- 602
- ISSN
- 0035-9254 (ISSN-L)
- OpenAlex
- W1995220528
- Cited by
- 266
- References
- 0
- FWCI
- 26.63
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Survivorship Analysis for Clinical Studies. https://app.cochat.ai/papers/10.2307/2348095
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- Fayers, P., Harris, E. K., & Albert, A. (1992). Survivorship Analysis for Clinical Studies. Applied Statistics. https://doi.org/10.2307/2348095
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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.
