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paul-buerkner / brms

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
https://paul-buerkner.github.io/brms/
GNU General Public License v2.0
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Censored predictors #565

Open StaffanBetner opened 5 years ago

StaffanBetner commented 5 years ago

In some cases one could have predictor variables that are censored. It could be handled as a missing data problem, with restrictions on the values (which depends on whether the data is right-, left- or interval-censored)

Some references: https://doi.org/10.1111/j.1468-2354.2007.00470.x https://doi.org/10.1007/s12561-013-9099-4 (a multiple imputation approach) https://doi.org/10.1037/a0034274 (also MI)

paul-buerkner commented 5 years ago

Thanks! I will take a look if this is something I can support in brms at some point.

JackCaster commented 2 years ago

I am curious to know if there is any progress on this topic. I just stumbled upon a problem that may benefit from censored predictors.