Johnson, Valen
individual record
Professor
Positions:
- Professor, Statistics, College of Science
- Dean, College of Science, Texas A&M University
education and training
- Ph.D. in Statistics, University of Chicago - (Chicago, Illinois, United States) 1989
- M.A. in Applied Mathematics, The University of Texas at Austin - (Austin, Texas, United States) 1985
- B.S. in Mathematics, Rensselaer Polytechnic Institute - (Troy, New York, United States) 1981
selected publications
Academic Articles74
- Pramanik, S., Johnson, V. E., & Bhattacharya, A. (2021). A modified sequential probability ratio test. 101, 102505-102505.
- Yoshihama, S., Cho, S. X., Yeung, J., Pan, X., Lizee, G., Konganti, K., Johnson, V. E., & Kobayashi, K. S. (2021). NLRC5/CITA expression correlates with efficient response to checkpoint blockade immunotherapy. 11(1), 3258.
- Gao, F., Pan, X., Dodd-Eaton, E. B., Recio, C. V., Montierth, M. D., Bojadzieva, J., ... Wang, W. (2020). A pedigree-based prediction model identifies carriers of deleterious de novo mutations in families with Li-Fraumeni syndrome. 30(8), 1170-1180.
- Nikooienejad, A., Wang, W., & Johnson, V. E. (2020). Bayesian variable selection for survival data using inverse moment priors. 14(2), 809-828.
- Nikooienejad, A., & Johnson, V. E. (2020). On the Existence of Uniformly Most Powerful Bayesian Tests With Application to Non-Central Chi-Squared Tests. 16(1), 93-109.
Books3
- Johnson, V. E. (2006). Grade Inflation A Crisis in College Education. Springer Science & Business Media.
Chapters3
- Rossell, D., Telesca, D., & Johnson, V. E. (2013). High-Dimensional Bayesian Classifiers Using Non-Local Priors. Studies in Classification, Data Analysis, and Knowledge Organization. Statistical Models for Data Analysis. 305-313. Springer International Publishing.
- Rossell, D., Baladandayuthapani, V., & Johnson, V. E. (2008). Bayes Factors Based on Test Statistics Under Order Restrictions. Bayesian Evaluation of Informative Hypotheses. 111-129. Springer New York.
Conference Papers11
- Pan, X., Gao, F., Dodd, E. B., Bojadzieva, J., Mai, P. L., Johnson, V. E., ... Wang, W. (2019). Abstract 2406: A general probabilistic algorithm to predict de novo mutations in familial diseases as demonstrated in Li-Fraumeni Syndrome. 79(13), 2406-2406.
- Bosca, R., Mahajan, A., Johnson, V. E., Brown, P. D., Dong, L., Stafford, R. J., & Jackson, E. F. (2014). TU-C-12A-02: Development of a Multiparametric Statistical Response Map for Quantitative Imaging. 41(6Part27), 462-463.
- Williams, L., Wang, X. S., Shi, Q., Reuben, J. M., Shah, N., Johnson, V. E., & Cleeland, C. S. (2013). INFLAMMATORY MARKERS AND SYMPTOM BURDEN IN PATIENTS WITH MULTIPLE MYELOMA UNDERGOING AUTOLOGOUS STEM CELL TRANSPLANTATION. 40(6), E457-E457.
- Rossell, D., Telesca, D., & Johnson, V. E. (2013). High-dimensional bayesian classifiers using non-local priors. Studies in Classification, Data Analysis, and Knowledge Organization. 305-313.
- Laading, J. K., McCulloch, C., Johnson, V. E., Gilland, D. R., & Jaszczak, R. J. (1999). A hierarchical feature based deformation model applied to 4D cardiac SPECT data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1613, 266-279.
Internet Publications2
- Johnson, V. E. (2019). Is it the end of statistical significance? The battle to make science more uncertain.
- Johnson, V. (2017). A statistical fix for the replication crisis in science. - An article submitted to The Conversation
in the news
- John August Named Dean Of Texas A&M's College of Veterinary Medicine And Biomedical Sciences Texas A&M Today September 10, 2020
researcher on
Principal Investigator1
- Consistent Variable Selection in p>>n Settings awarded by DHHS-NIH-National Cancer Institute 2013 - 2021
Investigator2
- Nutrition, Biostatistics and Bioinformatics Training Grant awarded by DHHS-NIH-National Cancer Institute 2013 - 2021
awards and honors
recent teaching activities
- SCEN289 Clsc Hullabaloo U Instructor
- STAT438 Bayesian Statistics Instructor
- STAT689 Sptp: Bayes Model & Hypo Test Instructor
- STAT691 Research Instructor
chaired theses and dissertations
- Nikooienejad, Amir (2017-12). Bayesian Variable Selection in High Dimensional Genomic Studies Using Nonlocal Priors. (Doctoral Dissertation)
- Shin, Minsuk (2017-08). Priors for Bayesian Shrinkage and High-Dimensional Model Selection. (Doctoral Dissertation)
- Barney, Bradley (2011-08). Bayesian Joint Modeling of Binomial and Rank Response Data. (Doctoral Dissertation)
- Joshi, Adarsh (2010-05). Bayesian Model Selection for High-dimensional High-throughput Data. (Doctoral Dissertation)
Email
vejohnson@tamu.edu
First Name
Valen
Last Name
Johnson
mailing address
Texas A&M University; Department Of Statistics; 3143 TAMU
College Station, TX 77843-3143
USA