ORCID: https://orcid.org/0000-0002-6372-2487; Day, A. G. und Hartl, W.
(2016):
Modeling Exposure-Lag-Response Associations with Penalized Piece-wise Exponential Models.
Department of Statistics: Technical Reports, Nr. 192
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Abstract
We present a novel approach for the flexible modeling of exposure-lag-response associations, i.e., time-to-event data where multiple past exposures are cumulatively associated with the hazard after a certain temporal delay. Our method is based on piece-wise exponential models and allows estimation of a wide variety of effects, including potentially smooth and time-varying effects as well as cumulative effects with leads and lags, taking advantage of the advanced inference methods that have recently been developed for generalized additive mixed models.
Dokumententyp: | Paper |
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Keywords: | Survival analysis, piece-wise exponential model, exposure-lag-response association |
Fakultät: | Mathematik, Informatik und Statistik > Statistik > Technische Reports |
Themengebiete: | 500 Naturwissenschaften und Mathematik > 510 Mathematik |
URN: | urn:nbn:de:bvb:19-epub-32010-0 |
Sprache: | Englisch |
Dokumenten ID: | 32010 |
Datum der Veröffentlichung auf Open Access LMU: | 03. Feb. 2017, 14:25 |
Letzte Änderungen: | 13. Jul. 2023, 13:02 |
Alle Versionen dieses Dokumentes
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Modeling Exposure-Lag-Response Associations with Penalized Piece-wise Exponential Models. (deposited 09. Mrz. 2016, 19:07)
- Modeling Exposure-Lag-Response Associations with Penalized Piece-wise Exponential Models. (deposited 03. Feb. 2017, 14:25) [momentan angezeigt]