| Year |
Citation |
Score |
| 2023 |
Jones G, Johnson WO, Heuer C. Modelling variation in test sensitivity for monitoring leptospirosis in beef cattle. Preventive Veterinary Medicine. 221: 106074. PMID 37976969 DOI: 10.1016/j.prevetmed.2023.106074 |
0.362 |
|
| 2019 |
Johnson WO, Jones G, Gardner IA. Gold standards are out and Bayes is in: Implementing the cure for imperfect reference tests in diagnostic accuracy studies. Preventive Veterinary Medicine. 167: 113-127. PMID 31027713 DOI: 10.1016/J.Prevetmed.2019.01.010 |
0.392 |
|
| 2017 |
Kostoulas P, Nielsen SS, Branscum AJ, Johnson WO, Dendukuri N, Dhand NK, Toft N, Gardner IA. Reporting guidelines for diagnostic accuracy studies that use Bayesian latent class models (STARD-BLCM). Statistics in Medicine. PMID 28675923 DOI: 10.1002/Sim.7316 |
0.561 |
|
| 2017 |
Kostoulas P, Nielsen SS, Branscum AJ, Johnson WO, Dendukuri N, Dhand NK, Toft N, Gardner IA. STARD-BLCM: Standards for the Reporting of Diagnostic accuracy studies that use Bayesian Latent Class Models. Preventive Veterinary Medicine. 138: 37-47. PMID 28237234 DOI: 10.1016/J.Prevetmed.2017.01.006 |
0.604 |
|
| 2016 |
Quintana FA, Johnson WO, Waetjen E, Gold E. Bayesian Nonparametric Longitudinal Data Analysis. Journal of the American Statistical Association. 111: 1168-1181. PMID 28366967 DOI: 10.1080/01621459.2015.1076725 |
0.336 |
|
| 2015 |
Jafarzadeh SR, Johnson WO, Gardner IA. Bayesian modeling and inference for diagnostic accuracy and probability of disease based on multiple diagnostic biomarkers with and without a perfect reference standard. Statistics in Medicine. PMID 26415924 DOI: 10.1002/Sim.6745 |
0.338 |
|
| 2015 |
Branscum AJ, Johnson WO, Hanson TE, Baron AT. Flexible regression models for ROC and risk analysis, with or without a gold standard. Statistics in Medicine. PMID 26239173 DOI: 10.1002/Sim.6610 |
0.635 |
|
| 2014 |
Hanson TE, Branscum AJ, Johnson WO. Informative g-priors for logistic regression Bayesian Analysis. 9: 597-612. DOI: 10.1214/14-Ba868 |
0.579 |
|
| 2013 |
Lombard JE, Gardner IA, Jafarzadeh SR, Fossler CP, Harris B, Capsel RT, Wagner BA, Johnson WO. Herd-level prevalence of Mycobacterium avium subsp. paratuberculosis infection in United States dairy herds in 2007. Preventive Veterinary Medicine. 108: 234-8. PMID 22979969 DOI: 10.1016/J.Prevetmed.2012.08.006 |
0.325 |
|
| 2013 |
Branscum AJ, Johnson WO, Baron AT. Robust Medical Test Evaluation Using Flexible Bayesian Semiparametric Regression Models Epidemiology Research International. 2013: 1-8. DOI: 10.1155/2013/131232 |
0.627 |
|
| 2012 |
Cheng D, Branscum AJ, Johnson WO. Sample size calculations for ROC studies: parametric robustness and Bayesian nonparametrics. Statistics in Medicine. 31: 131-42. PMID 22139729 DOI: 10.1002/Sim.4396 |
0.615 |
|
| 2012 |
Robert C, Christensen R, Johnson W, Branscum A, Hanson T. Bayesian Ideas and Data Analysis Chance. 25: 58-60. DOI: 10.1080/09332480.2012.685376 |
0.527 |
|
| 2011 |
Trippa L, Müller P, Johnson W. The multivariate beta process and an extension of the Polya tree model. Biometrika. 98: 17-34. PMID 23956460 DOI: 10.1093/Biomet/Asq072 |
0.384 |
|
| 2011 |
Bartell SM, Johnson WO. Estimating equations for biomarker based exposure estimation under non-steady-state conditions. Environmental Health : a Global Access Science Source. 10: 57. PMID 21668990 DOI: 10.1186/1476-069X-10-57 |
0.517 |
|
| 2011 |
Hanson TE, Branscum AJ, Johnson WO. Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches. Lifetime Data Analysis. 17: 3-28. PMID 20369294 DOI: 10.1007/s10985-010-9162-0 |
0.597 |
|
| 2011 |
Gastwirth JL, Johnson WO, Hikawa H. Estimating the fraction of 'non-genuine' artwork by Henry Moore for sale on eBay: Application of latent class screening test methodology Journal of the Royal Statistical Society. Series a: Statistics in Society. 174: 805-822. DOI: 10.2139/Ssrn.1480723 |
0.304 |
|
| 2011 |
Johnson W, Branscum AJ, Hanson TE. Rejoinder for "Predictive comparison of joint longitudinal-survival modeling: A case study illustrating competing approaches" Lifetime Data Analysis. 17: 37-42. DOI: 10.1007/S10985-010-9176-7 |
0.627 |
|
| 2010 |
Jafarzadeh SR, Johnson WO, Utts JM, Gardner IA. Bayesian estimation of the receiver operating characteristic curve for a diagnostic test with a limit of detection in the absence of a gold standard. Statistics in Medicine. 29: 2090-106. PMID 20603894 DOI: 10.1002/Sim.3975 |
0.364 |
|
| 2010 |
Jones G, Johnson WO, Hanson TE, Christensen R. Identifiability of models for multiple diagnostic testing in the absence of a gold standard. Biometrics. 66: 855-63. PMID 19764953 DOI: 10.1111/J.1541-0420.2009.01330.X |
0.379 |
|
| 2009 |
Johnson WO, Gardner IA, Metoyer CN, Branscum AJ. On the interpretation of test sensitivity in the two-test two-population problem: assumptions matter. Preventive Veterinary Medicine. 91: 116-21. PMID 19651450 DOI: 10.1016/J.Prevetmed.2009.06.006 |
0.615 |
|
| 2009 |
Gardner IA, Johnson WO, Norris M. Modeling bivariate longitudinal diagnostic outcome data in the absence of a gold standard Statistics and Its Interface. 2: 171-185. DOI: 10.4310/Sii.2009.V2.N2.A7 |
0.333 |
|
| 2009 |
Hanson T, Johnson W, Laud P. Semiparametric inference for survival models with step process covariates Canadian Journal of Statistics. 37: 60-79. DOI: 10.1002/Cjs.10001 |
0.419 |
|
| 2008 |
Branscum AJ, Johnson WO, Hanson TE, Gardner IA. Bayesian semiparametric ROC curve estimation and disease diagnosis. Statistics in Medicine. 27: 2474-96. PMID 18300333 DOI: 10.1002/Sim.3250 |
0.613 |
|
| 2008 |
Branscum AJ, Perez AM, Johnson WO, Thurmond MC. Bayesian spatiotemporal analysis of foot-and-mouth disease data from the Republic of Turkey. Epidemiology and Infection. 136: 833-42. PMID 17612418 DOI: 10.1017/S0950268807009065 |
0.596 |
|
| 2007 |
Su CL, Gardner IA, Johnson WO. Bayesian estimation of cluster-level test accuracy based on different sampling schemes Journal of Agricultural, Biological, and Environmental Statistics. 12: 250-271. DOI: 10.1198/108571107X198895 |
0.588 |
|
| 2007 |
Branscum AJ, Johnson WO, Gardner IA. Sample size calculations for studies designed to evaluate diagnostic test accuracy Journal of Agricultural, Biological, and Environmental Statistics. 12: 112-127. DOI: 10.1198/108571107X177519 |
0.606 |
|
| 2007 |
Branscum AJ, Johnson WO, Thurmond MC. Bayesian beta regression: Applications to household expenditure data and genetic distance between foot-and-mouth disease viruses Australian and New Zealand Journal of Statistics. 49: 287-301. DOI: 10.1111/j.1467-842X.2007.00481.x |
0.598 |
|
| 2006 |
Branscum AJ, Johnson WO, Gardner IA. Sample size calculations for disease freedom and prevalence estimation surveys. Statistics in Medicine. 25: 2658-74. PMID 16287201 DOI: 10.1002/Sim.2449 |
0.561 |
|
| 2006 |
Choi YK, Johnson WO, Thurmond MC. Diagnosis using predictive probabilities without cut-offs. Statistics in Medicine. 25: 699-717. PMID 16220514 DOI: 10.1002/Sim.2365 |
0.594 |
|
| 2006 |
Choi YK, Johnson WO, Collins MT, Gardner IA. Bayesian inferences for receiver operating characteristic curves in the absence of a gold standard Journal of Agricultural, Biological, and Environmental Statistics. 11: 210-229. DOI: 10.1198/108571106X110883 |
0.576 |
|
| 2006 |
Su C, Johnson WO. Large-Sample Joint Posterior Approximations When Full Conditionals Are Approximately Normal Journal of the American Statistical Association. 101: 795-811. DOI: 10.1198/016214505000001311 |
0.608 |
|
| 2005 |
Georgiadis MP, Johnson WO, Gardner IA. Sample size determination for estimation of the accuracy of two conditionally independent tests in the absence of a gold standard. Preventive Veterinary Medicine. 71: 1-10. PMID 16076507 DOI: 10.1016/J.Prevetmed.2005.04.004 |
0.34 |
|
| 2005 |
Thurmond MC, Branscum AJ, Johnson WO, Bedrick EJ, Hanson TE. Predicting the probability of abortion in dairy cows: a hierarchical Bayesian logistic-survival model using sequential pregnancy data. Preventive Veterinary Medicine. 68: 223-39. PMID 15820117 DOI: 10.1016/J.Prevetmed.2005.01.008 |
0.508 |
|
| 2005 |
Branscum AJ, Gardner IA, Johnson WO. Estimation of diagnostic-test sensitivity and specificity through Bayesian modeling. Preventive Veterinary Medicine. 68: 145-63. PMID 15820113 DOI: 10.1016/J.Prevetmed.2004.12.005 |
0.612 |
|
| 2005 |
Hanson TE, Branscum AJ, Johnson WO. Bayesian Nonparametric Modeling and Data Analysis: An Introduction Handbook of Statistics. 25: 245-278. DOI: 10.1016/S0169-7161(05)25009-5 |
0.6 |
|
| 2004 |
Branscum AJ, Gardner IA, Johnson WO. Bayesian modeling of animal- and herd-level prevalences. Preventive Veterinary Medicine. 66: 101-12. PMID 15579338 DOI: 10.1016/J.Prevetmed.2004.09.009 |
0.605 |
|
| 2004 |
Su CL, Gardner IA, Johnson WO. Diagnostic test accuracy and prevalence inferences based on joint and sequential testing with finite population sampling. Statistics in Medicine. 23: 2237-55. PMID 15236428 DOI: 10.1002/Sim.1809 |
0.627 |
|
| 2004 |
McInturff P, Johnson WO, Cowling D, Gardner IA. Modelling risk when binary outcomes are subject to error. Statistics in Medicine. 23: 1095-109. PMID 15057880 DOI: 10.1002/Sim.1656 |
0.343 |
|
| 2004 |
Johnson WO, Su CL, Gardner IA, Christensen R. Sample size calculations for surveys to substantiate freedom of populations from infectious agents. Biometrics. 60: 165-71. PMID 15032786 DOI: 10.1111/J.0006-341X.2004.00143.X |
0.593 |
|
| 2004 |
Hanson T, Johnson WO. A Bayesian semiparametric AFT model for interval-censored data Journal of Computational and Graphical Statistics. 13: 341-361. DOI: 10.1198/1061860043489 |
0.326 |
|
| 2003 |
Hanson T, Bedrick EJ, Johnson WO, Thurmond MC. A mixture model for bovine abortion and foetal survival. Statistics in Medicine. 22: 1725-39. PMID 12720307 DOI: 10.1002/Sim.1376 |
0.323 |
|
| 2003 |
Hanson T, Johnson WO, Gardner IA. 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. DOI: 10.1198/1085711031526 |
0.389 |
|
| 2003 |
Georgiadis MP, Johnson WO, Gardner IA, Singh R. Correlation-adjusted estimation of sensitivity and specificity of two diagnostic tests Journal of the Royal Statistical Society. Series C: Applied Statistics. 52: 63-76. DOI: 10.1111/1467-9876.00389 |
0.375 |
|
| 2002 |
Bedrick EJ, Exuzides A, Johnson WO, Thurmond MC. Predictive influence in the accelerated failure time model. Biostatistics (Oxford, England). 3: 331-46. PMID 12933601 DOI: 10.1093/Biostatistics/3.3.331 |
0.3 |
|
| 2002 |
Suess EA, Gardner IA, Johnson WO. Hierarchical Bayesian model for prevalence inferences and determination of a country's status for an animal pathogen Preventive Veterinary Medicine. 55: 155-171. PMID 12383652 DOI: 10.1016/S0167-5877(02)00092-2 |
0.313 |
|
| 2002 |
Thurmond MC, Johnson WO, Muñoz-Zanzi CA, Su CL, Hietala SK. A method of probability diagnostic assignment that applies bayes theorem for use in serologic diagnostics, using an example of Neospora caninum infection in cattle. American Journal of Veterinary Research. 63: 318-25. PMID 11911564 |
0.552 |
|
| 2000 |
Enøe C, Georgiadis MP, Johnson WO. Estimation of sensitivity and specificity of diagnostic tests and disease prevalence when the true disease state is unknown. Preventive Veterinary Medicine. 45: 61-81. PMID 10802334 DOI: 10.1016/S0167-5877(00)00117-3 |
0.33 |
|
| 2000 |
Bedrick EJ, Christensen R, Johnson WO. Bayesian accelerated failure time analysis with application to veterinary epidemiology Statistics in Medicine. 19: 221-237. PMID 10641026 DOI: 10.1002/(Sici)1097-0258(20000130)19:2<221::Aid-Sim328>3.0.Co;2-C |
0.363 |
|
| 1999 |
Cowling DW, Gardner IA, Johnson WO. Comparison of methods for estimation of individual-level prevalence based on pooled samples Preventive Veterinary Medicine. 39: 211-225. PMID 10327439 DOI: 10.1016/S0167-5877(98)00131-7 |
0.309 |
|
| 1996 |
Bedrick EJ, Christensen R, Johnson W. A New Perspective on Priors for Generalized Linear Models Journal of the American Statistical Association. 91: 1450-1460. DOI: 10.1080/01621459.1996.10476713 |
0.453 |
|
| 1992 |
Christensen R, Pearson LM, Johnson W. Case-Deletion Diagnostics for Mixed Models Technometrics. 34: 38. DOI: 10.2307/1269550 |
0.43 |
|
| 1991 |
Johnson WO, Gastwirth JL. Bayesian Inference for Medical Screening Tests: Approximations Useful for the Analysis of Acquired Immune Deficiency Syndrome Journal of the Royal Statistical Society: Series B (Methodological). 53: 427-439. DOI: 10.1111/J.2517-6161.1991.Tb01835.X |
0.322 |
|
| 1985 |
Johnson W, Geisser S. Estimative influence measures for the multivariate general linear model Journal of Statistical Planning and Inference. 11: 33-56. DOI: 10.1016/0378-3758(85)90023-0 |
0.688 |
|
| 1983 |
Johnson W, Geisser S. A Predictive View of the Detection and Characterization of Influential Observations in Regression Analysis Journal of the American Statistical Association. 78: 137-144. DOI: 10.1080/01621459.1983.10477942 |
0.696 |
|
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