12897 |
Creator |
0e2d1b90682e8c08761586c8975c7f13 |
12897 |
Creator |
538c0722d7d106c7098d06ea38e69498 |
12897 |
Creator |
31467478e101ebff76e91f0befff94eb |
12897 |
Date |
2009-01-01 |
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Is Part Of |
repository |
12897 |
Is Part Of |
p14684357 |
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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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authorList |
authors |
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issue |
1 |
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status |
peerReviewed |
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volume |
10 |
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type |
AcademicArticle |
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type |
Article |
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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 |