GSAMU: Sensitivity analysis for effects of multiple exposures in the presence of unmeasured confounding: non-Gaussian and time-to-event outcomes
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Updated
Aug 8, 2024 - R
GSAMU: Sensitivity analysis for effects of multiple exposures in the presence of unmeasured confounding: non-Gaussian and time-to-event outcomes
Approximate inference of latent non-Gaussian models
This repository is out of date. See instead: https://github.com/paigejo/ELK
An R package for the stochastic simulation of processes with any marginal distribution and correlation structure
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