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VALEN E. JOHNSON Education December 2016 VALEN E. JOHNSON Education: Ph.D. Statistics The University of Chicago 1989 M.A. Applied Mathematics University of Texas at Austin 1985 B.S. Mathematics Rensselaer Polytechnic Institute 1981 Positions Held: 2016{pres University Distinguished Professor, Texas A&M University 2014{pres Head, Department of Statistics, Texas A&M University 2012{pres Professor, Department of Statistics, Texas A&M University 2011-2012 Ad Interim Division Head, Division of Quantitative Sciences & Ad Interim Chair, Department of Biostatistics, University of Texas M.D. Anderson Cancer Center 2007-2010 Deputy Chairman, Department of Biostatistics, University of Texas M.D. Anderson Cancer Center 2004-2011 Professor, Department of Biostatistics, University of Texas M.D. Anderson Cancer Center 2005-2011 Adjunct Professor, Department of Statistics, Rice University 2007-2011 Adjunct Professor, Department of Statistics, Texas A&M University 2002-2004 Professor, Department of Biostatistics, University of Michigan 2001-2002 Technical Staff Member, Los Alamos National Laboratory 2000-2003 Professor, Institute of Statistics and Decision Sciences, Duke University 1995-1999 Director of Undergraduate Studies, Institute of Statistics and Decision Sciences, Duke University 1993-2000 Associate Professor, Institute of Statistics and Decision Sciences, Duke University 1999-2002 Adjunct Professor, Department of Statistics, The University of North Carolina at Chapel Hill 1989-1992 Assistant Professor, Institute of Statistics and Decision Sciences 1988-1989 Research Assistant, Franklin Maclean Memorial Research Institute, Department of Radiology, University of Chicago 1981-1985 Intelligence Officer, United States Army 1 Awards and Professional Service: Fellow, American Statistical Association Fellow, Royal Statistical Society Elected Member, International Statistics Institute Co-Editor, Bayesian Analysis, 2010-2014. Associate Editor, Journal of the American Statistical Association, 2011-present. Member, Board of Directors, International Society for Bayesian Analysis, 2004-2007 Associate Editor, Bayesian Analysis, 2006-2010 Member, Clinical Review Committee, University of Texas M.D. Anderson Cancer Center, 2007-2008 Associate Member, Institutional Review Board, University of Texas M.D. Anderson Cancer Center, 2006-2007 Faculty Senator, University of Texas M.D. Anderson Cancer Center, 2005-2008 Faculty Senator, University of Michigan, 2003-2004 Chair, Lindley Award Committee, 2008 Chair or Member, Savage Thesis Award Committee, 2004-2007 Member, Lindley Award Committee, 2004-2007 Treasurer, International Society for Bayesian Analysis, 1998-2001 Associate Editor, IEEE Transactions on Medical Imaging, 1993-2002 Associate Book Editor, Journal of the American Statistical Association, 1998-2002 Associate Editor, Journal of the American Statistical Association, 1992-1996 President, North Carolina Chapter of the American Statistical Association, 1995 Runner-up, Francois Erbsmann Award for contributions to medical imaging, 1991 Savage Award for Outstanding Thesis in Bayesian Statistics and Econometrics, 1989 Patents: Image Object Matching Using Core Analysis and Deformable Shape Loci, Patent Number 5,926,568, held jointly with Edward Chaney, Stephen Pizer, Alyson Wilson, Duke University and the University of North Carolina at Chapel Hill. Methods for Estimating Probe Cell Locations in High Density Synthetic DNA Mi- croarrays, Patent Number 6,993,173, with Harry Zuzan and Duke University. 2 Books: Johnson, V.E. and Albert, J. (1999), Ordinal Data Models, Springer-Verlag: New York. Johnson, V.E. (2003), Grade Inflation: A Crisis in College Education. Springer- Verlag, New York. Articles in major statistical and scientific journals: Johnson, V.E. (1992), \A Technique for Estimating Marginal Posterior Densities in Hierarchical Models Using Mixtures of Conditional Densities," Journal of the American Statistical Association, 87, 852-860. Johnson, V.E. (1994), \A Model for Segmentation and Analysis of Noisy Images," Journal of the American Statistical Association, 89, 230-241. Johnson, V.E. (1996), \Studying Convergence of Markov Chain Monte Carlo Al- gorithms Using Coupled Sampling Paths," Journal of the American Statistical Association, 91, 154-166. Johnson, V.E. (1996), \On Bayesian Analysis of Multirater Ordinal Data: An Ap- plication to Automated Essay Grading," Journal of the American Statistical Association, 91, 42-51. Johnson, V.E. (1998), \A Coupling-Regeneration Scheme for Diagnosing Con- vergence in Markov Chain Monte Carlo Algorithms," Journal of the American Statistical Association, 93, 238-248. Johnson, V.E., Deaner, R.O. and van Schaik, C.P. (2002), \Bayesian Analysis of Multi-Study Rank Data with Application to Primate Intelligence Ratings," Journal of the American Statistical Association, 8-17. Johnson, V.E. (2004), \A Bayesian χ2 Test for Goodness-of-Fit," Annals of Statis- tics, 32, 2361-2384. Johnson, V.E. (2005), \Bayes Factors Based on Test Statistics," Journal of the Royal Statistical Society, Series B, 67(5), 689-701. Johnson, V.E. (2008), \A Statistical Analysis of the NIH Peer Review System," Proceedings of the National Academy of Sciences, 105 (32), 11076-11080. Hu, J. and Johnson, V.E. (2009), \Bayesian Model Selection Using Test Statis- tics," Journal of the Royal Statistical Society. Series B, 71, 143-158. 3 Hu, J. and Johnson, V.E. (2009), \Log-Linear Models for Gene Association," Journal of the American Statistical Association, 104, 597-607. Johnson, V.E. and Rossell, D. (2010), \On the use of non-local prior densities for default Bayesian hypothesis tests," Journal of the Royal Statistical Society. Series B, 72, 143-170. Johnson, V.E. and Rossell, D. (2012), \Bayesian Variable Selection in High- dimensional Settings," Journal of the American Statistical Association, 107, 649-660. Johnson V.E. (2013), \Uniformly most powerful Bayesian tests," Annals of Statis- tics, 41, 1716-1741 Johnson, V.E. (2013), \Revised standards for statistical evidence," Proceedings of the National Academy of Sciences, 110(48), 19313-19317. Barney B., Amici F., Aureli F., Call J. and Johnson, V.E. (2015), \Joint Bayesian Modeling of Binomial and Rank Data for Primate Cognition," Journal of the American Statistical Association, 110(510), 573-582. Johnson, V.E., Payne R., Wang T., Asher A., Mandal, S. (2017), \On the Re- producibility of Psychological Science," Journal of the American Statistical Association, 112:517, 1-10. Benjamin* D. J., Berger J. O., Johannesson* M., Nosek B. A., Wagenmakers E.{J., Berk R., Bollen K. A., Brembs B., Brown L., Camerer C., Cesarini D., Chambers C. D., Clyde M., Cook T. D., De Boeck P., Dienes Z., Dreber A., Easwaran K., Efferson C., Fehr E., Fidler F., Field A. P., Forster M., George E. I., Gonzalez R., Goodman S., Green E., Green D. P., Greenwald A., Hadfield J. D., Hedges L. V., Held L., Ho T.{H., Hoijtink H., Jones J. H., Hruschka D. J., Imai K., Imbens G., Ioannidis J. P. A., Jeon M., Kirchler M., Laibson D., List J., Little R., Lupia A., Machery E., Maxwell S. E., McCarthy M., Moore D., Morgan S. L., Munaf´oM., Nakagawa S., Nyhan B., Parker T. H., Pericchi L., Perugini M., Rouder J., Rousseau J., Savalei V., Sch¨onbrodt F. D., Sellke T., Sinclair B., Tingley D., Van Zandt T., Vazire S., Watts D. J., Winship C., Wolpert R. L., Xie Y., Young C., Zinman J., & Johnson* V. E. (senior and corresponding* author) (2017), “Redefine Statistical Significance,” Nature Human Behaviour, in press. Other peer-reviewed articles: Chen, C., Johnson, V.E., Wong, W.H., Hu, X., and Metz, C.E. (1990), \Bayesian Image Reconstruction in Positron Emission Tomography," IEEE Transactions on Nuclear Science, NS-37, 636-641. 4 Johnson, V.E., Wong, W.H., Hu. X., Chen, C-T., (1991), \Image Restoration Using Gibbs Priors: Boundary Modeling, Treatment of Blurring, and Selection of Hy- perparameters," IEEE Transactions on Pattern Analysis and Machine Intelligence, 13, 413-425. Chen, C-T., Ouyang, X., Wong, W.H., Hu, X., Johnson, V.E., Ordonoz, C.E., and Metz, C.E. (1991), \Sensor Fusion in Image Reconstruction," IEEE Transactions in Nuclear Science, 38, 687-692. Johnson, V.E., Wong, W.H., Hu. X., Chen, C-T., (1991), \Bayesian Restoration of PET Images Using Gibbs Priors," in Information Processing and Medical Imaging XI, 15-28, Alan R. Liss: New York. Hu, X., Johnson, V.E., Wong, W.H., Chen, C-T., (1991), \Bayesian Image Pro- cessing for Magnetic Resonance Imaging," Magnetic Resonance Imaging, 9, 611-620. Lin, W.J., Pizer, S.M., Johnson V.E., (1991), \Boundary Estimation in Ultrasound Images," in Information Processing in Medical Imaging XII, 285-299, Springer-Verlag: Heidelberg. Liang, Z., Jaszczak, R., Coleman, R., Johnson, V.E. (1991), \Simultaneous Re- construction, Segmentation, and Edge Enhancement of Relatively Piecewise Continuous Images with Intensity Level Information," Medical Physics, 18, 394-401. Soper, J.T., Johnson, P.L., Johnson, V.E., Berchuck, A., Clarke-Pearson, D.L. (1992). \Comprehensive Restaging Laparatomy in Women with Apparent Early Ovarian Carcinoma," Obstetrics and Gynecology, 949-953. Johnson, V.E., Wong, W.H., Hu, X., Chen, C.T. (1992). \Data Augmentation Schemes Applied to Image Restoration, " in Medical Images: Formation, Handling and Evaluation, 345-360, Springer-Verlag: Berlin-Heidelberg. Johnson, V.E. (1993), \A Framework for Incorporating Prior Structural Infor- mation into the Reconstruction of Medical Images," in Information Processing in Medical Imaging, eds. Barrett and Gmitro, 307-321, Springer-Verlag: Heidleberg. Johnson, V.E.
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