This decision tree model uses R to generate the incremental cost, incremental outcomes, and incremental cost-effectiveness ratio. It also include R code for performing a one-way sensitivity analysis and constructing a tornado diagram.
Using inverse probability of treatment weights & Marginal structural models to handle time-varying covariates
Simple example illustrating the benefits of applying inverse probability of treatment weights fitted to a marginal structural model.
This is a short exercise created by BC Mullins for the bayesAB package.
This is a tutorial to perform meta-analyses using Bayesian methods with JAGS in the R environment.