| Title | Causal mediation analysis for survival outcome with unobserved mediator-outcome confounders |
| Authors | Luo, Peng Geng, Zhi |
| Affiliation | Peking Univ, Sch Math Sci, Beijing 100871, Peoples R China. |
| Keywords | Causal inference Direct and indirect effects Mediation analysis Survival analysis SENSITIVITY-ANALYSIS IDENTIFICATION |
| Issue Date | 2016 |
| Publisher | COMPUTATIONAL STATISTICS & DATA ANALYSIS |
| Citation | COMPUTATIONAL STATISTICS & DATA ANALYSIS.2016,93,(,SI),336-347. |
| Abstract | The indirect effect of the treatment on the survival outcome through the mediate variable and the direct effect of the treatment on the survival outcome are described. The relationships between the direct and indirect effects and the parameters of three models for survival analysis are provided. The conditions for identifying the direct and indirect effects of the treatment on the survival outcome with an unobserved mediator-outcome confounder vector are presented. Further the identifiability is illustrated via a simulation study. Finally, the proposed approaches are applied to a real data set to illustrate the methodology. (C) 2014 Elsevier B.V. All rights reserved. |
| URI | http://hdl.handle.net/20.500.11897/422696 |
| ISSN | 0167-9473 |
| DOI | 10.1016/j.csda.2014.11.015 |
| Indexed | SCI(E) EI |
| Appears in Collections: | 数学科学学院 |
