Shrivastava, D., Absoch, A., Hanson, T., Tian, J., Gupte, A., Iaizzo, P., and Vaughan, J.T. Effect of the extra-cranial portion of a DBS lead on radiofrequency heating with a 9.4 Tesla head coil within cadaveric porcine heads. Journal of Magnetic Resonance Imaging, tentatively accepted.
Nestrasil, I., Michaeli, S., Liimatainen, T., Rydeen, C., Kotz, C., Nixon, J., Garwood, M., Hanson, T., and Tuite, P. T1ρ and T2ρ MRI in the evaluation of Parkinson's disease. Journal of Neurology, accepted.
Ghosh, P. and Hanson, T. A semiparametric Bayesian approach to multivariate longitudinal data. Australian and New Zealand Journal of Statistics, accepted.
Jones, G., Johnson, W., Hanson, T., and Christensen, R. Identifiability of models for multiple diagnostic testing in the absence of a gold standard. Biometrics, accepted.
Li, M., Reilly, C., and Hanson, T. Association tests for a censored quantitative trait and candidate genes in structured populations with multilevel genetic relatedness. Biometrics, accepted.
Xu, L., Hanson, T., Bedrick, E., and Restrepo, C. Hypothesis tests on mixture model components with applications in ecology and agriculture. Journal of Agricultural, Biological, and Environmental Statistics, accepted.
Baab, K., Freidline, S., Wang, S., and Hanson, T. (2010). Robusticity to cranial form, geography and climate in Homo sapiens. American Journal of Physical Anthropology, 141, 97-115.
Jara, A., Hanson, T., and Lesaffre, E. (2009). Robustifying generalized linear mixed models using a new class of mixtures of multivariate Polya trees. Journal of Computational and Graphical Statistics, 18, 838-860.
Shrivastava, D., Hanson, T., Kulesa, J., DelaBarre, L., Snyder, C., and Vaughan, T.J. (2009). Radio-frequency heating at 9.4T: In vivo thermoregulatory temperature response in swine. Magnetic Resonance in Medicine, 62, 888-895.
Zhao, L., Hanson, T., and Carlin, B. (2009). Flexible spatial frailty modeling via mixtures of Polya trees. Biometrika, 96, 263-276.
Singer, R., Mayer, A., Hanson, T., and Isaacson, R. (2009). Do microbial interactions and cultivation media decrease the accuracy of Salmonella surveillance systems and outbreak investigations? Journal of Food Protection, 72, 707-713.
Hanson, T., Johnson, W., and Laud, P. (2009). Semiparametric inference for survival models with step process covariates. Canadian Journal of Statistics, 37, 60-79.
Muñoz-Zanzi, C., Trampel, D., Hanson, T., Harrison, K., Goyal, S., Cortinas, R., and Lauer, D. (2009). Field estimation of the flock-level diagnostic specificity of an enzyme-linked immunosorbent assay for Avian metapneumovirus antibodies in turkeys. Journal of Veterinary Diagnostic Investigation, 21, 240-243.
Michaeli, S., Burns, T.C., Kudishevich, E., Hanson, T., Sorce, D.J., Garwood, M., and Low, W.C. (2009). Detection of neuronal loss using T1ρ MRI assessment of 1H2O spin dynamics in the aphakia mouse model. Journal of Neuroscience Methods, 177, 160-167.
Johnson, T.E., Kassie, F., O'Sullivan, G., Negia, M., Hanson, T., Upadhyaya, P., Ruvolo, P.P., Hecht, S.S., Xing, C. (2008). Chemopreventive effect of kava on 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone plus benzo[a]pyrene-induced lung tumorigenesis in A/J mice. Cancer Prevention Research, 1, 430-438.
Li, M., Reilly, C., and Hanson, T. (2008). A semiparametric test to detect associations between quantitative traits and candidate genes in structured populations. Bioinformatics, 24, 2356-2362.
Christensen, R., Hanson, T., and Jara, A. (2008). Parametric nonparametric statistics: An introduction to mixtures of finite Polya trees. The American Statistician, 62, 296-306.
Branscum, A. and Hanson, T. (2008). Bayesian nonparametric meta-analysis using Polya tree mixture models. Biometrics, 64, 825-833.
Yang, M., Hanson, T., and Christensen, R. (2008). Nonparametric Bayesian estimation of a bivariate density with interval censored data. Computational Statistics and Data Analysis, 52, 5202-5214.
Branscum, A., Johnson, W., Hanson, T., and Gardner, I. (2008). Bayesian semiparametric ROC curve estimation and disease risk assessment. Statistics in Medicine, 27, 2474-2496.
Branscum, A., Hanson, T., and Gardner, I. (2008). Bayesian nonparametric models for regional prevalence estimation. Journal of Applied Statistics, 35, 567-582.
Hanson, T., Branscum, A., and Gardner, I. (2008). Multivariate mixtures of Polya trees for modelling ROC data. Statistical Modelling, 8, 81-96.
Hanson, T., Kottas, A., and Branscum, A. (2008). Modelling stochastic order in the analysis of receiver operating characteristic data: Bayesian nonparametric approaches. Journal of the Royal Statistical Society: Series C (Applied Statistics), 57, 207-225.
Shrivastava, D., Hanson, T., Schlentz, R., Gallagher, W., Snyder, C., DelaBarre, L., Prakash, S., Iaizzo, P., and Vaughan, J.T. (2008). Radiofrequency heating at 9.4T: In vivo temperature measurement results in swine. Magnetic Resonance in Medicine, 59, 73-78.
Hanson, T. and Pearson, O. (2007). Fitting MANOVA models with missing continuous or ordinal data using reference priors. Communications in Statistics: Simulation and Computation, 36, 621-630.
McMillan, G., Hanson, T., and Lapham, S. (2007). Geographic variability in alcohol-related crashes in response to legalized Sunday packaged alcohol sales in New Mexico. Accident Analysis and Prevention, 39, 252-257.
Damien, P., Galenko, A., Popova, E., and Hanson, T. (2007). Bayesian semiparametric analysis for a single item maintenance optimization. European Journal of Operational Research, 182, 794-805.
Hanson, T. and Yang, M. (2007). Bayesian semiparametric proportional odds models. Biometrics, 63, 88-95.
Hanson, T. (2006). Inference for mixtures of finite Polya tree models. Journal of the American Statistical Association, 101, 1548-1565.
Hanson, T. (2006). Modeling censored lifetime data using a mixture of gammas baseline. Bayesian Analysis, 1, 575-594. PDF file.
Hanson, T., Johnson, W., and Gastwirth, J. (2006). Bayesian inference for prevalence and diagnostic test accuracy based on dual-pooled screening. Biostatistics, 7, 41-57.
McMillan, G., Hanson, T., Bedrick, E., and Lapham, S. (2005). Using the bivariate Dale model to jointly estimate predictors of frequency and quantity of alcohol use. Journal of Studies on Alcohol, 65, 643-650.
McMillan, G. and Hanson, T. (2005). SAS macro BDM for fitting the Dale regression model to bivariate ordinal response data. Journal of Statistical Software, 14, 1-12.
Hanson, T., Sethuraman, J., and Xu, L. (2005). On choosing the centering distribution in Dirichlet process mixture models. Statistics and Probability Letters, 72, 153-162.
Thurmond, M., Branscum, A., Johnson, W., Bedrick, E. and Hanson, T. (2005). Predicting the probability of abortion in dairy cows: a hierarchical Bayesian logistic-survival model using sequential pregnancy data. Preventive Veterinary Medicine, 68, 223-239.
Marks, S., Hanson, T., and Melli, A. (2004). Comparison of direct immunofluorescence, modified acid-fast staining, and enzyme immunoassay techniques for detection of Cryptosporidium spp in naturally exposed kittens. Journal of the American Veterinary Medical Association, 225, 1549-1553.
Hanson, T. & Johnson, W. (2004). A Bayesian semiparametric AFT model for interval censored data. Journal of Computational and Graphical Statistics, 13, 341-361.
Hanson, T., Johnson, W., Gardner, I., and Georgiadis, M. (2003). Determining the infection status of a herd. Journal of Agricultural, Biological, and Environmental Statistics, 8, 469-485.
Hanson, T., Johnson, W., and Gardner, I. (2003). Hierarchical models for estimating herd prevalence and test accuracy in the absence of a gold-standard. Journal of Agricultural, Biological, and Environmental Statistics, 8, 223-239.
Hanson, T., Bedrick, E., Johnson, W., and Thurmond, M. (2003). A mixture model for bovine abortion and fetal survival. Statistics in Medicine, 22, 1725-1739.
Hanson, T. and Johnson, W. (2002). Modeling regression error with a mixture of Polya trees. Journal of the American Statistical Association, 97, 1020-1033.
Schöllnberger, H., Menache, G., and Hanson, T. (2001). A biomathematical modeling approach to explain the phenomenon of radiation hormesis. Human and Ecological Risk Assessment, 7, 867-890.
Schöllnberger, H., Scott, B., and Hanson, T. (2001). Application of Bayesian inference to characterize risks associated with low doses of low-LET radiation. Bulletin of Mathematical Biology, 63, 865-883.
Hanson, T., Johnson, W., and Gardner, I. (2000). Log-linear and logistic modeling of dependence among diagnostic tests. Preventive Veterinary Medicine, 45, 123-137.
Popova, E., Morton, D., Damien, P., and Hanson, T. Bayesian analysis and decisions in nuclear power plant maintenance. To appear in the The Oxford Handbook of Applied Bayesian Analysis. Mike West and Tony O'Hagan Editors.
Hanson, T. (2007). Polya trees and their use in reliaiblity and survival analysis, in Encyclopedia of Statistics in Quality and Reliability, Ruggeri, F., Kenett, R. and Faltin, F.W. (eds). John Wiley & Sons Ltd., Chichester, UK, pp. 1385-1390.
Hanson, T., Johnson, W., and Laud, P. (2007). A semiparametric accelerated failure time model for survival data with time dependent covariates. In Bayesian Statistics and its Applications, 254-269. Edited by S.K. Upadhyay, U. Singh, and D.K. Dey. New Delhi: Anamaya Publishers.
Hanson, T., Branscum, A., and Johnson, W. (2005). Bayesian nonparametric modeling and data analysis: an introduction. In Bayesian Thinking: Modeling and Computation (Handbook of Statistics, volume 25), 245-278. Edited by D.K. Dey and C.R. Rao. Amsterdam: Elsevier.
Johnson, W. and Hanson, T. (2005). Comment on "On model expansion, model contraction, identifiability and prior information: Two illustrative scenarios involving mismeasured variables," by Paul Gustafson. Statistical Science, 20, 131-134.
Johnson, W., Hanson, T., Gastwirth, J. and Gardner, I. (2001). Pooled sample screening with quality control. Bayesian methods with applications to science, policy, and official statistics. E.I. George, Ed. pp. 253-261.