The Open UniversitySkip to content

Case series analysis for censored, perturbed, or curtailed post-event exposures

Farrington, C. Paddy; Whitaker, Heather J. and Hocine, Mounia N. (2009). Case series analysis for censored, perturbed, or curtailed post-event exposures. Biostatistics, 10(1) pp. 3–16.

DOI (Digital Object Identifier) Link:
Google Scholar: Look up in Google Scholar


A new method is developed for analyzing case series data in situations where occurrence of the event censors, curtails, or otherwise affects post-event exposures. Unbiased estimating equations derived from the self-controlled case series model are adapted to allow for exposures whose occurrence or observation is influenced by the event. The method applies to transient point exposures and rare nonrecurrent events. Asymptotic efficiency is studied in some special cases. A computational scheme based on a pseudo-likelihood is proposed to make the computations feasible in complex models. Simulations, a validation study, and 2 applications are described.

Item Type: Journal Article
Copyright Holders: 2008 The Authors
ISSN: 1468-4357
Keywords: censored data; counterfactual; endogeneity; estimating equation; Horvitz–Thompson estimator; pseudo-likelihood; self-controlled case series
Academic Unit/Department: Mathematics, Computing and Technology > Mathematics and Statistics
Mathematics, Computing and Technology
Item ID: 12897
Depositing User: Paddy Farrington
Date Deposited: 19 Jan 2009 06:47
Last Modified: 21 Jan 2016 11:01
Share this page:


Scopus Citations

▼ Automated document suggestions from open access sources

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340