SCHOLARS@TAMU

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. SCIENTIFIC REPORTS. 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. Genome Research. 30(8), 1170-1180.

Nikooienejad, A., Wang, W., & Johnson, V. E. (2020). Bayesian variable selection for survival data using inverse moment priors. Annals of Applied Statistics. 14(2), 809-828.

Shin, M., Bhattacharya, A., & Johnson, V. E. (2019). Functional Horseshoe Priors for Subspace Shrinkage. Journal of the American Statistical Association. 115(532), 1-31.

Johnson, V. E. (2019). Evidence From Marginally Significant t Statistics. AMERICAN STATISTICIAN. 73(sup1), 129-134.

Johnson, V. E. (2006). Grade Inflation A Crisis in College Education. Springer Science & Business Media.

Johnson, V. E., & Albert, J. H. (2006). Ordinal Data Modeling. Springer Science & Business Media.

Johnson, V. E., & Johnson, T. D. (2005). Bayesian Analysis of ROC Data. Elsevier.

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. (pp. 305-313). Springer International Publishing.

Johnson, V. E. (2011). Bayes' Factors. Encyclopedia of Life Sciences. John Wiley & Sons, Ltd.

Rossell, D., Baladandayuthapani, V., & Johnson, V. E. (2008). Bayes Factors Based on Test Statistics Under Order Restrictions. Bayesian Evaluation of Informative Hypotheses. (pp. 111-129). Springer New York.

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. CANCER RESEARCH. 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. MEDICAL PHYSICS. 41(6Part27), 462-463.

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.

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. Oncology Nursing Forum. 40(6), E457-E457.

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. ADVANCES IN NEURAL NETWORKS - ISNN 2014. 1613, 266-279.

Johnson, V. E. (2019). Is it the end of ‘statistical significance’? The battle to make science more uncertain. - An article submitted to The Conversation

Johnson, V. (2017). A statistical fix for the replication crisis in science. - An article submitted to The Conversation