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Cited by 689

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Censored Data and the Bootstrap

Efron, Bradley·1981·Journal of the American Statistical Association

Abstract

This article concerns setting standard errors and confidence intervals for the parameters of an unknown distribution when the data is subject to right censoring. The bootstrap, which is an elaboration of the jackknife, provides a general method for answering such questions. The validity of bootstrap methods is investigated using real data, computer simulations, and, in the final section, brief theoretical considerations.

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Crossref · 10.1080/01621459.1981.10477650

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Metadata

Authors
Efron, B.
Venue
Journal of the American Statistical Association
Published
1981-06
Volume
76
Issue
374
Pages
312-319
ISSN
  • 0162-1459 (ISSN-L)
  • 1537-274X
OpenAlex
W2045602503
Cited by
689
References
2
FWCI
9.06
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Censored Data and the Bootstrap. https://app.cochat.ai/papers/10.1080/01621459.1981.10477650
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Efron, B. (1981). Censored Data and the Bootstrap. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1981.10477650

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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.