Bayesian Hierarchical Analysis for Multiple Health Endpoints in a Toxicity Study

Author:

Choi Taeryon,Schervish Mark J.,Schmitt Ketra A.,Small Mitchell J.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,Agricultural and Biological Sciences (miscellaneous),General Environmental Science,Statistics and Probability

Reference22 articles.

1. Brooks, S., and Gelman, A. (1998), “Alternative Methods for Monitoring Convergence of Iterative Simulations,” Journal of Computational and Graphical Statistics, 7, 434–455.

2. Choi, T., Schervish, M. J., Schmitt, A. K., and Small, M. J. (2008), “A Bayesian Approach to Logistic Regression Model with Incomplete Information,” Biometrics, 64, 424–430.

3. Choi, T., Schervish, M. J., Schmitt, K. A., and Small, M. J. (2004), “A Bayesian Hierarchical Method for Fitting Multiple Health Endpoints in a Toxicity Study,” Technical Report 810, Department of Statistics, Carnegie Mellon University.

4. Collett, D. (2003), Modelling Binary Data, New York: CRC Press.

5. Crofton, K. M. (1998), “Re-Analysis of Thyroid Hormone Data from Subchronic Perchlorate Study Submitted by Springborn Laboratories,” USEPA, National Health and Environmental Effects Research Laboratory, Research Triangle Park, NC. [Memorandum with attachments to Annie Jarabek], July 21 (revised October 12 and November 18), available at http://www.epa.gov/ncea/perchlorate/references2/ (released January 2002).

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