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: https://doi.org/10.1093/biostatistics/kxn013

Abstract

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.

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About

• Item ORO ID
• 12897
• Item Type
• Journal Item
• ISSN
• 1468-4357
• Keywords
• censored data; counterfactual; endogeneity; estimating equation; Horvitz–Thompson estimator; pseudo-likelihood; self-controlled case series
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Copyright Holders
• © 2008 The Authors
• Depositing User
• Paddy Farrington