Please use this identifier to cite or link to this item: https://doi.org/10.1080/00949650601141712
Title: On the multivariate predictive distribution of multi-dimensional effective dose: A Bayesian approach
Authors: Li, J. 
Zhang, C.
Nordheim, E.V.
Lehner, C.E.
Keywords: Multi-dimensional effective dose
Multivariate joint distribution
Posterior distribution
Simulating conditional distribution
Issue Date: 2008
Citation: Li, J., Zhang, C., Nordheim, E.V., Lehner, C.E. (2008). On the multivariate predictive distribution of multi-dimensional effective dose: A Bayesian approach. Journal of Statistical Computation and Simulation 78 (5) : 429-442. ScholarBank@NUS Repository. https://doi.org/10.1080/00949650601141712
Abstract: We propose a Bayesian procedure to sample from the distribution of the multi-dimensional effective dose. This effective dose is the set of dose levels of multiple predictive factors that produce a binary response with a fixed probability.We apply our algorithms to parametric and semiparametric logistics regression models, respectively. The graphical display of random samples obtained through Markov chain Monte Carlo can provide some insight into the predictive distribution. © 2008 Taylor & Francis.
Source Title: Journal of Statistical Computation and Simulation
URI: http://scholarbank.nus.edu.sg/handle/10635/105279
ISSN: 00949655
DOI: 10.1080/00949650601141712
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