The weighted priors approach for combining expert opinions in logistic regression experiments
Author:
Affiliation:
1. Department of Statistics, Pennsylvania State University, University Park, Pennsylvania
2. Statistical Sciences Group, Los Alamos National Laboratory, Los Alamos, New Mexico
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Link
https://www.tandfonline.com/doi/pdf/10.1080/08982112.2017.1319956
Reference10 articles.
1. Abdelbasit, K. M., and R. Plackett. 1983. Experimental design for binary data. Journal of the American Statistical Association 78(381):90–98.
2. Albert, A., and J. Anderson. 1984. On the existence of maximum likelihood estimates in logistic regression models. Biometrika 71(1):1–10.
3. Chaloner, K., and K. Larntz. 1989. Optimal bayesian design applied to logistic regression experiments. Journal of Statistical Planning and Inference 21(2):191–208.
4. Hastings, W. K. 1970. Monte carlo sampling methods using markov chains and their applications. Biometrika 57(1):97–109.
5. Kiefer, J., and J. Wolfowitz. 1959. Optimum designs in regression problems. The Annals of Mathematical Statistics 30:271–294.
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