The Bayesian Causal Effect Estimation Algorithm (BCEE)
Implementation of the Bayesian Causal Effect Estimation algorithm, a data-driven method for the estimation of the causal effect of a continuous exposure on a continuous outcome. For more details, see Talbot et al. (2015).
Estimation and Testing of Average Hazard Ratios (AHR)
Methods for estimation of multivariate average hazard ratios as defined by Kalbfleisch and Prentice. The underlying survival functions of the event of interest in each group can be estimated using either the (weighted) Kaplan-Meier estimator or the Aalen-Johansen estimator for the transition probabilities in Markov multi-state models. Right-censored and left-truncated data is supported. Moreover, the difference in restricted mean survival can be estimated.