The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Kaplan—meier, marginal or conditional probability curves in summarizing competing risks failure time data?
Abstract
In the context of competing risks the Kaplan—Meier estimator is often unsuitable for summarizing failure time data. We discuss some alternative descriptive methods including marginal probability and conditional probability estimators. Two‐sample test statistics are also presented.
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Citations
Cites
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Cited by
A Proportional Hazards Model for the Subdistribution of a Competing Risk
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Introduction to the Analysis of Survival Data in the Presence of Competing Risks
Austin, P. C., Lee, D. S., & Fine, J. P. (2016) · Circulation · doi:10.1161/circulationaha.115.017719 · Cited by 2,653
Metadata
- Authors
- Pepe, M. S., & Mori, M.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 1993-04-30
- Volume
- 12
- Issue
- 8
- Pages
- 737-751
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W1965359675
- Cited by
- 620
- References
- 19
- FWCI
- 8.33
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
