subject predicate object context
12897 Creator 0e2d1b90682e8c08761586c8975c7f13
12897 Creator 538c0722d7d106c7098d06ea38e69498
12897 Creator 31467478e101ebff76e91f0befff94eb
12897 Date 2009-01-01
12897 Is Part Of repository
12897 Is Part Of p14684357
12897 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.
12897 authorList authors
12897 issue 1
12897 status peerReviewed
12897 volume 10
12897 type AcademicArticle
12897 type Article
12897 label 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.
12897 label 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.
12897 sameAs kxn013
12897 Title Case series analysis for censored, perturbed, or curtailed post-event exposures
12897 in dataset oro