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Cited by 272

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Nonparametric Analysis of Recurrent Events and Death

Ghosh, Debashis, Lin, D. Y.·2000·Biometrics

Abstract

Summary. This article is concerned with the analysis of recurrent events in the presence of a terminal event such as death. We consider the mean frequency function, defined as the marginal mean of the cumulative number of recurrent events over time. A simple nonparametric estimator for this quantity is presented. It is shown that the estimator, properly normalized, converges weakly to a zero‐mean Gaussian process with an easily estimable covariance function. Nonparametric statistics for comparing two mean frequency functions and for combining data on recurrent events and death are also developed. The asymptotic null distributions of these statistics, together with consistent variance estimators, are derived. The small‐sample properties of the proposed estimators and test statistics are examined through simulation studies. An application to a cancer clinical trial is provided.

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Metadata

Authors
Ghosh, D., & Lin, D. Y.
Venue
Biometrics
Published
2000-06
Volume
56
Issue
2
Pages
554-562
ISSN
  • 0006-341X (ISSN-L)
  • 1541-0420
OpenAlex
W1995227999
Cited by
272
References
22
FWCI
4.88
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nonparametric Analysis of Recurrent Events and Death. https://app.cochat.ai/papers/10.1111/j.0006-341x.2000.00554.x
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Ghosh, D., & Lin, D. Y. (2000). Nonparametric Analysis of Recurrent Events and Death. Biometrics. https://doi.org/10.1111/j.0006-341x.2000.00554.x

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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.