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- W2186188681 abstract "We propose methods for estimating the average difference in restricted mean survival time attributable to a time-dependent treatment. In the data structure of interest, the time until treatment is received and the pre-treatment death hazard are both heavily influenced by a longitudinal process. In addition, subjects may experience periods of treatment ineligibility. The pre-treatment death hazard is modeled using inverse weighted partly conditional methods, while the posttreatment hazard is handled through Cox regression. Subject-specific differences in pre- versus post-treatment survival are estimated, then averaged in order to estimate the average treatment effect among the treated. Asymptotic properties of the proposed estimators are derived and evaluated in finite samples through simulation. The proposed methods are applied to liver failure data obtained from a national organ transplant registry. This is joint work with Qi Gong." @default.
- W2186188681 created "2016-06-24" @default.
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- W2186188681 date "2014-01-01" @default.
- W2186188681 modified "2023-09-27" @default.
- W2186188681 title "2014 Spring Colloquium" @default.
- W2186188681 hasPublicationYear "2014" @default.
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