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research article
Sufficient Cause Interaction for Time-to-event Outcomes
March 1, 2019
Methods to assess sufficient cause interactions are well developed for binary outcomes. We extend these methods to handle time-to-event outcomes, which occur frequently in medicine and epidemiology. Based on theory for marginal structural models in continuous time, we show how to assess sufficient cause interaction nonparametrically, allowing for censoring and competing risks. We apply the method to study interaction between intensive blood pressure therapy and statin treatment on all-cause mortality.
Type
research article
Authors
Publication date
2019-03-01
Published in
Volume
30
Issue
2
Start page
189
End page
196
Peer reviewed
REVIEWED
EPFL units
Available on Infoscience
October 15, 2020
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