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Adam J. Branscum, Ph.D. - Publications

Affiliations: 
2005 University of California, Davis, Davis, CA 
Area:
Statistics
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26 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2018 de la Cruz ML, Branscum AJ, Nacar J, Pages E, Pozo P, Perez A, Grau A, Saez JL, de Juan L, Diaz R, Minguez O, Alvarez J. Evaluation of the Performance of the IDvet IFN-Gamma Test for Diagnosis of Bovine Tuberculosis in Spain. Frontiers in Veterinary Science. 5: 229. PMID 30320129 DOI: 10.3389/Fvets.2018.00229  0.332
2017 Carvalho VI, Branscum AJ. Bayesian nonparametric inference for the three-class Youden index and its associated optimal cutoff points. Statistical Methods in Medical Research. 962280217742538. PMID 29241400 DOI: 10.1177/0962280217742538  0.329
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  0.554
2017 Inácio de Carvalho V, de Carvalho M, Branscum AJ. Nonparametric Bayesian covariate-adjusted estimation of the Youden index. Biometrics. PMID 28378510 DOI: 10.1111/Biom.12686  0.38
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  0.581
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  0.604
2015 Branscum AJ, Cheng D, Lee JJ. Testing hypotheses about medical test accuracy: considerations for design and inference Journal of Applied Statistics. 42: 1106-1119. DOI: 10.1080/02664763.2014.995608  0.389
2015 Liu W, Zhang B, Zhang Z, Tao J, Branscum AJ. Model selection in finite mixture of regression models: a Bayesian approach with innovative weighted g priors and reversible jump Markov chain Monte Carlo implementation Journal of Statistical Computation and Simulation. 85: 2456-2478. DOI: 10.1080/00949655.2014.931584  0.33
2014 Hanson TE, Branscum AJ, Johnson WO. Informative g-priors for logistic regression Bayesian Analysis. 9: 597-612. DOI: 10.1214/14-Ba868  0.565
2013 Schörgendorfer A, Branscum AJ. Regression analysis using dependent Polya trees. Statistics in Medicine. 32: 4679-95. PMID 23839794 DOI: 10.1002/Sim.5898  0.368
2013 Schörgendorfer A, Branscum AJ, Hanson TE. A Bayesian goodness of fit test and semiparametric generalization of logistic regression with measurement data. Biometrics. 69: 508-19. PMID 23489010 DOI: 10.1111/Biom.12007  0.387
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  0.592
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  0.578
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  0.53
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  0.535
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  0.537
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  0.532
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  0.543
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  0.542
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  0.524
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  0.537
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  0.497
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  0.479
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  0.536
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  0.578
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  0.526
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