Causal mediation analysis of non-mortality outcomes with follow up truncated by death: Survivor natural direct and indirect effects
- 2024-04-08 (Mon.), 10:30 AM
- 統計所B1演講廳;茶 會:上午10:10。
- 實體與線上視訊同步進行。
- Prof. An-Shun Tai ( 戴安順 助理教授 )
- 國立成功大學 統計學系
Abstract
In the context of mediation analysis, the presence of death-truncated variables poses a challenge as conventional measures fail to accurately assess the role of a mediator in the effect of a treatment on a primary non-mortality outcome. This study introduces novel estimands – survivor natural direct and indirect effects – to address this issue. Exchangeability assumptions are employed to mitigate confounding effects, and empirical expressions are derived using information from a pretreatment surrogate variable akin to an instrumental variable. Three estimation approaches – model parameterization, generalized method of moments, and data-adaptive G-computation – are developed and applied using data from a National Emphysema Treatment Trial to illustrate the proposed method.
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最後更新日期:2024-04-01 17:31