This paper considers (partial) identification of a variety counterfactual parameters in binary response models with possibly endogenous regressors. Our framework allows for nonseparable index functions multi-dimensional latent variables, and does not require parametric distributional assumptions. We leverage results on hyperplane arrangements cell enumeration from the literature computational g...

BACKGROUND Estimates of relative efficacy between alternative treatments are crucial for decision making in health care. When sufficient head to head evidence is not available Bayesian mixed treatment comparison models provide a powerful methodology to obtain such estimates. While models can be fit to a broad range of efficacy measures, this paper illustrates the advantages of using continuous ...