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Modeling Exposure-Lag-Response Associations with Penalized Piece-wise Exponential Models
2016
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
doi:10.5282/ubm/epub.27636
fatcat:3fqjpk7tgvd5vlehjgaq3ax3yu