Valen E. Johnson, Ph.D. 1989, The University of Chicago UT M. D. Anderson Cancer Center Biostatistics and Applied Mathematics Contact Information

Research Interests: Bayesian analysis with a focus on Bayesian model diagnostics and testing; ordinal and categorical data analysis; model selection and Bayesian model averaging; statistical image analysis

My research is directed toward the application of novel statistical techniques for the analysis of high-dimensional, highly structured stochastic systems. I am particularly interested in developing techniques for determining whether complex statistical models provide an adequate fit to observed data and how to translate information contained in classical testing procedures into more useful summaries of the posterior probability that a hypothesis is true. I am also interested in developing new models for the analysis of ordered categorical data, particularly for data derived from medical diagnostic tests.

Students performing a tutorial under my supervision would either apply and develop statistical models for application to clinically important data sets or would participate in the development of new Bayesian model assessment, diagnostic, or testing criteria.
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Yuan Y, Johnson VE (2007) Bayesian hypothesis tests using nonparametric statistics. [to appear in Statistica Sinica].

Johnson VE (2007) Properties of Bayes factors based on test statistics. Scandinavian Journal of Statistics. Epub Oct 31.

Johnson VE (2007) Bayesian model assessment using pivotal quantities. Bayesian Analysis. Epub Aug 10.

Deaner RO, van Schaik CP, Johnson V (2006) Do some taxa have better domain-general cognition than others? A meta-analysis of non-human primate studies. Evolutionary Psychology. 4:149-196.

Johnson TD, Johnson VE (2006) A Bayesian hierarchical approach to multirater correlated ROC analysis. Statistics in Medicine. 25(11):1858-1871.

Johnson VE (2005) Bayes Factors Based on Test Statistics. Journal of the Royal Statistical Society, Series B, 67(5), 689-701.

Johnson TD and Johnson VE (2005) A Bayesian Hierarchical Approach to Multirater Correlated ROC Analysis. To appear in Statistics in Medicine.

Johnson VE, Moosman A and Cotter P (2005) A Hierarchical Model for Estimating the Early Reliability of Complex Systems.
IEEE Transactions on Reliability, 54, 224-231.

Johnson VE and Johnson TD (2005) Bayesian Analysis of ROC Data. Handbook of Statistics, edited by DK Dey and CR Rao, 25, 821-833, Elsevier: Amsterdam.

Johnson, VE and Albert J (2004) Ordinal Regression Models. Handbook of Quantitative Methodology for the Social Sciences, Sage Publications: Thousand Oaks, CA, 151-174.

Johnson V.E. (2004) A Bayesian Chi-squared Test for Goodness-of- Fit. Annals of Statistics, 32, 2361-2384.

Program Affiliation:
Program in Biomathematics and Biostatistics