Hidden Dangers of Specifying Noninformative Priors

John W. Seaman, John W. Seaman, James D. Stamey

Type: Article

Publication Date: 2012-05-01

Citations: 79

DOI: https://doi.org/10.1080/00031305.2012.695938

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Locations

The American Statistician - View

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+	Modeling covariance matrices in terms of standard deviations and correlations, with application to shrinkage	2000	John Barnard Robert McCulloch Xiao Li Meng
+ PDF Chat	Applied logistic regression	1990	David W. Hosmer Stanley Lemeshow
+	Calibrated Bayes	2006	Roderick J. A. Little
+	Data augmentation priors for Bayesian and semi‐Bayes analyses of conditional‐logistic and proportional‐hazards regression	2001	Sander Greenland Ronald Christensen
+	Bayesian estimation of the proportion of treatment effect captured by a surrogate marker	2002	Mary Kathryn Cowles
+	Modelling risk when binary outcomes are subject to error	2004	Pat S. McInturff Wesley O. Johnson David Cowling Ian A. Gardner
+	The BUGS project: Evolution, critique and future directions	2009	David J. Lunn David J. Spiegelhalter Andrew C. Thomas Nicky Best
+	Bayesian evaluation of surrogate endpoints.	2006	Chunyao. Feng
+ PDF Chat	An Introduction to Bayesian Analysis	2006	Jayanta K. Ghosh Mohan Delampady T. K. Samanta
+ PDF Chat	A weakly informative default prior distribution for logistic and other regression models	2008	Andrew Gelman Aleks Jakulin Maria Grazia Pittau Yu‐Sung Su