| Bayesian ideas and data analysis: an introduction for scientists and statisticians R Christensen, W Johnson, A Branscum, TE Hanson CRC press, 2010 | 551 | 2010 |
| Multiple regression T Hanson | 404 | 2010 |
| DPpackage: Bayesian semi-and nonparametric modeling in R A Jara, TE Hanson, FA Quintana, P Müller, GL Rosner Journal of statistical software 40 (5), 1, 2011 | 272 | 2011 |
| Modeling regression error with a mixture of Polya trees T Hanson, WO Johnson Journal of the American Statistical Association 97 (460), 1020-1033, 2002 | 268 | 2002 |
| Inference for mixtures of finite Polya tree models TE Hanson Journal of the American Statistical Association 101 (476), 1548-1565, 2006 | 218 | 2006 |
| Identifiability of models for multiple diagnostic testing in the absence of a gold standard G Jones, WO Johnson, TE Hanson, R Christensen Biometrics 66 (3), 855-863, 2010 | 136 | 2010 |
| A comparison of three diagnostic tests for carpal tunnel syndrome using latent class analysis JR Fowler, W Cipolli, T Hanson JBJS 97 (23), 1958-1961, 2015 | 116 | 2015 |
| Do microbial interactions and cultivation media decrease the accuracy of Salmonella surveillance systems and outbreak investigations? RS Singer, AE Mayer, TE Hanson, RE Isaacson Journal of Food Protection 72 (4), 707-713, 2009 | 96 | 2009 |
| Relationship of cranial robusticity to cranial form, geography and climate in Homo sapiens KL Baab, SE Freidline, SL Wang, T Hanson American Journal of Physical Anthropology: The Official Publication of the …, 2010 | 92 | 2010 |
| Hierarchical models for estimating herd prevalence and test accuracy in the absence of a gold standard T Hanson, WO Johnson, IA Gardner Journal of agricultural, biological, and environmental statistics 8, 223-239, 2003 | 90 | 2003 |
| A class of mixtures of dependent tail-free processes A Jara, TE Hanson Biometrika 98 (3), 553-566, 2011 | 89 | 2011 |
| T1ρ and T2ρ MRI in the evaluation of Parkinson’s disease I Nestrasil, S Michaeli, T Liimatainen, CE Rydeen, CM Kotz, JP Nixon, ... Journal of neurology 257, 964-968, 2010 | 88 | 2010 |
| Bayesian semiparametric ROC curve estimation and disease diagnosis AJ Branscum, WO Johnson, TE Hanson, IA Gardner Statistics in Medicine 27 (13), 2474-2496, 2008 | 82 | 2008 |
| Association of green tea consumption with mortality from all-cause, cardiovascular disease and cancer in a Chinese cohort of 165,000 adult men J Liu, S Liu, H Zhou, T Hanson, L Yang, Z Chen, M Zhou European journal of epidemiology 31, 853-865, 2016 | 78 | 2016 |
| Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches TE Hanson, AJ Branscum, WO Johnson Lifetime data analysis 17, 3-28, 2011 | 76 | 2011 |
| A Bayesian semiparametric AFT model for interval-censored data T Hanson, WO Johnson Journal of Computational and Graphical Statistics 13 (2), 341-361, 2004 | 76 | 2004 |
| Bayesian nonparametric ROC regression modeling V Inacio de Carvalho, A Jara, T E. Hanson, M de Carvalho | 73 | 2013 |
| A unified framework for fitting Bayesian semiparametric models to arbitrarily censored survival data, including spatially referenced data H Zhou, T Hanson Journal of the American Statistical Association 113 (522), 571-581, 2018 | 67 | 2018 |
| Robustifying generalized linear mixed models using a new class of mixtures of multivariate Polya trees A Jara, TE Hanson, E Lesaffre Journal of Computational and Graphical Statistics 18 (4), 838-860, 2009 | 63 | 2009 |
| Modeling censored lifetime data using a mixture of gammas baseline TE Hanson | 63 | 2006 |
Wesley O. JohnsonProfessor of Statistics, University of CaliforniaVerified email at uci.edu
