Penalized estimation of complex, non-linear exposure-lag-response associations

Author:

Bender Andreas1,Scheipl Fabian2,Hartl Wolfgang3,Day Andrew G4,Küchenhoff Helmut1

Affiliation:

1. Statistical Consulting Unit, StaBLab, Department of Statistics, Ludwig-Maximilians-Universität Mänchen, Ludwigstr. 33, Munich, Germany

2. Department of Statistics, Ludwig-Maximilians-Universität Mänchen, Ludwigstr. 33, Munich, Germany

3. Department of General, Visceral, Transplantation, and Vascular Surgery, University School of Medicine, LMU Munich, Grosshadern Campus, Marchioninistraβe 15, Munich, Germany

4. Clinical Evaluation Research Unit, Kingston General Hospital, KGH Research Institute, 76 Stuart Street, Kingston, Ontario, Canada

Funder

German Research Foundation

Emmy Noether Programme

Publisher

Oxford University Press (OUP)

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Reference24 articles.

1. Analysis of time to event outcomes in randomized controlled trials by generalized additive models.;Argyropoulos;PLoS One,2015

2. Using tensor product splines in modeling exposure-time-response relationships: application to the colorado plateau uranium miners cohort.;Berhane;Statistics in Medicine,2008

3. Multivariate Survival Analysis and Competing Risks

4. Competing risks modeling of cumulative effects of time-varying drug exposures.;Danieli;Statistical Methods in Medical Research,2017

5. Estimating the grid of time-points for the piecewise exponential model.;Demarqui;Lifetime Data Analysis,2008

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