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.
Item Type: | Paper |
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Keywords: | Survival analysis, piece-wise exponential model, exposure-lag-response association |
Faculties: | Mathematics, Computer Science and Statistics > Statistics > Technical Reports |
Subjects: | 500 Science > 510 Mathematics |
URN: | urn:nbn:de:bvb:19-epub-27636-7 |
Language: | English |
Item ID: | 27636 |
Date Deposited: | 09. Mar 2016, 19:07 |
Last Modified: | 04. Nov 2020, 13:07 |
Available Versions of this Item
- Modeling Exposure-Lag-Response Associations with Penalized Piece-wise Exponential Models. (deposited 09. Mar 2016, 19:07) [Currently Displayed]