High-Dimensional Mediation Analysis for Time-to-Event Outcomes with Additive Hazards Model
Mediation analysis plays an increasingly crucial role in identifying potential causal pathways between exposures and outcomes. However, there is currently a lack of developed mediation approaches for high-dimensional survival data, particularly when considering additive hazard models. The present st...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/11/24/4891 |
| _version_ | 1827574278935019520 |
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| author | Meng An Haixiang Zhang |
| author_facet | Meng An Haixiang Zhang |
| author_sort | Meng An |
| collection | DOAJ |
| description | Mediation analysis plays an increasingly crucial role in identifying potential causal pathways between exposures and outcomes. However, there is currently a lack of developed mediation approaches for high-dimensional survival data, particularly when considering additive hazard models. The present study introduces two novel approaches for identifying statistically significant mediators in high-dimensional additive hazard models, including the multiple testing-based mediator selection method and knockoff filter procedure. The simulation results demonstrate the outstanding performance of these two proposed methods. Finally, we employ the proposed methodology to analyze the Cancer Genome Atlas (TCGA) cohort in order to identify DNA methylation markers that mediate the association between smoking and survival time among lung cancer patients. |
| first_indexed | 2024-03-08T20:33:56Z |
| format | Article |
| id | doaj.art-81146408b3a94ceb9d385b9a6fde6ead |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-08T20:33:56Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-81146408b3a94ceb9d385b9a6fde6ead2023-12-22T14:23:12ZengMDPI AGMathematics2227-73902023-12-011124489110.3390/math11244891High-Dimensional Mediation Analysis for Time-to-Event Outcomes with Additive Hazards ModelMeng An0Haixiang Zhang1Center for Applied Mathematics, Tianjin University, Tianjin 300072, ChinaCenter for Applied Mathematics, Tianjin University, Tianjin 300072, ChinaMediation analysis plays an increasingly crucial role in identifying potential causal pathways between exposures and outcomes. However, there is currently a lack of developed mediation approaches for high-dimensional survival data, particularly when considering additive hazard models. The present study introduces two novel approaches for identifying statistically significant mediators in high-dimensional additive hazard models, including the multiple testing-based mediator selection method and knockoff filter procedure. The simulation results demonstrate the outstanding performance of these two proposed methods. Finally, we employ the proposed methodology to analyze the Cancer Genome Atlas (TCGA) cohort in order to identify DNA methylation markers that mediate the association between smoking and survival time among lung cancer patients.https://www.mdpi.com/2227-7390/11/24/4891high-dimensional mediatorsknockoff filtermultiple testingsurvival analysis |
| spellingShingle | Meng An Haixiang Zhang High-Dimensional Mediation Analysis for Time-to-Event Outcomes with Additive Hazards Model Mathematics high-dimensional mediators knockoff filter multiple testing survival analysis |
| title | High-Dimensional Mediation Analysis for Time-to-Event Outcomes with Additive Hazards Model |
| title_full | High-Dimensional Mediation Analysis for Time-to-Event Outcomes with Additive Hazards Model |
| title_fullStr | High-Dimensional Mediation Analysis for Time-to-Event Outcomes with Additive Hazards Model |
| title_full_unstemmed | High-Dimensional Mediation Analysis for Time-to-Event Outcomes with Additive Hazards Model |
| title_short | High-Dimensional Mediation Analysis for Time-to-Event Outcomes with Additive Hazards Model |
| title_sort | high dimensional mediation analysis for time to event outcomes with additive hazards model |
| topic | high-dimensional mediators knockoff filter multiple testing survival analysis |
| url | https://www.mdpi.com/2227-7390/11/24/4891 |
| work_keys_str_mv | AT mengan highdimensionalmediationanalysisfortimetoeventoutcomeswithadditivehazardsmodel AT haixiangzhang highdimensionalmediationanalysisfortimetoeventoutcomeswithadditivehazardsmodel |