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Cited by 913

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Joint modelling of longitudinal measurements and event time data

Henderson, R.·2000·Biostatistics

Abstract

This paper formulates a class of models for the joint behaviour of a sequence of longitudinal measurements and an associated sequence of event times, including single-event survival data. This class includes and extends a number of specific models which have been proposed recently, and, in the absence of association, reduces to separate models for the measurements and events based, respectively, on a normal linear model with correlated errors and a semi-parametric proportional hazards or intensity model with frailty. Special cases of the model class are discussed in detail and an estimation procedure which allows the two components to be linked through a latent stochastic process is described. Methods are illustrated using results from a clinical trial into the treatment of schizophrenia.

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Crossref · 10.1093/biostatistics/1.4.465

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Metadata

Authors
Henderson, R.
Venue
Biostatistics
Published
2000-12-01
Volume
1
Issue
4
Pages
465-480
ISSN
  • 1465-4644 (ISSN-L)
  • 1468-4357
OpenAlex
W2105575181
Cited by
913
References
15
FWCI
9.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Joint modelling of longitudinal measurements and event time data. https://app.cochat.ai/papers/10.1093/biostatistics/1.4.465
The paper
Henderson, R. (2000). Joint modelling of longitudinal measurements and event time data. Biostatistics. https://doi.org/10.1093/biostatistics/1.4.465

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.