| Hidden dangers of specifying noninformative priors JW Seaman III, JW Seaman Jr, JD Stamey The American Statistician 66 (2), 77-84, 2012 | 106 | 2012 |
| Exposure to isoflavone-containing soy products and endothelial function: a Bayesian meta-analysis of randomized controlled trials DP Beavers, KM Beavers, M Miller, J Stamey, MJ Messina Nutrition, Metabolism and Cardiovascular Diseases 22 (3), 182-191, 2012 | 106 | 2012 |
| Using Bland− Altman to assess agreement between two medical devices–don’t forget the confidence intervals! C Hamilton, J Stamey Journal of clinical monitoring and computing 21, 331-333, 2007 | 106 | 2007 |
| Addressing unmeasured confounding in comparative observational research X Zhang, DE Faries, H Li, JD Stamey, GW Imbens Pharmacoepidemiology and drug safety 27 (4), 373-382, 2018 | 50 | 2018 |
| Confidence intervals for a binomial parameter based on binary data subject to false-positive misclassification DH Boese, DM Young, JD Stamey Computational Statistics & Data Analysis 50 (12), 3369-3385, 2006 | 47 | 2006 |
| Bayesian model selection for logistic regression with misclassified outcomes R Gerlach, J Stamey Statistical Modelling 7 (3), 255-273, 2007 | 46 | 2007 |
| A Bayesian approach to adjust for diagnostic misclassification between two mortality causes in Poisson regression JD Stamey, DM Young, JW Seaman Jr Statistics in medicine 27 (13), 2440-2452, 2008 | 45 | 2008 |
| Binary regression with misclassified response and covariate subject to measurement error: a Bayesian approach A McGlothlin, JD Stamey, JW Seaman Jr Biometrical Journal 50 (1), 123-134, 2008 | 32 | 2008 |
| Bayesian sensitivity analysis methods to evaluate bias due to misclassification and missing data using informative priors and external validation data G Luta, MB Ford, M Bondy, PG Shields, JD Stamey Cancer epidemiology 37 (2), 121-126, 2013 | 28 | 2013 |
| Assessing the impact of unmeasured confounders for credible and reliable real‐world evidence X Zhang, JD Stamey, MB Mathur Pharmacoepidemiology and drug safety 29 (10), 1219-1227, 2020 | 27 | 2020 |
| Bayesian methods for design and analysis of safety trials KL Price, H Amy Xia, M Lakshminarayanan, D Madigan, D Manner, ... Pharmaceutical statistics 13 (1), 13-24, 2014 | 27 | 2014 |
| Evaluating the impact of unmeasured confounding with internal validation data: an example cost evaluation in type 2 diabetes D Faries, X Peng, M Pawaskar, K Price, JD Stamey, JW Seaman Jr Value in Health 16 (2), 259-266, 2013 | 26 | 2013 |
| Bayesian sample‐size determination for inference on two binomial populations with no gold standard classifier JD Stamey, JW Seaman, DM Young Statistics in medicine 24 (19), 2963-2976, 2005 | 25 | 2005 |
| Accounting for response misclassification and covariate measurement error improves power and reduces bias in epidemiologic studies D Cheng, AJ Branscum, JD Stamey Annals of epidemiology 20 (7), 562-567, 2010 | 24 | 2010 |
| Bayesian sample size determination for binary regression with a misclassified covariate and no gold standard DP Beavers, JD Stamey Computational Statistics & Data Analysis 56 (8), 2574-2582, 2012 | 21 | 2012 |
| A Bayesian model to assess a binary measurement system when no gold standard system is available DP Beavers, JD Stamey, BN Bekele Journal of Quality Technology 43 (1), 16-27, 2011 | 20 | 2011 |
| A Bayesian approach to sample size determination for studies designed to evaluate continuous medical tests D Cheng, AJ Branscum, JD Stamey Computational statistics & data analysis 54 (2), 298-307, 2010 | 20 | 2010 |
| Estimation of Poisson rates with misclassified counts TL Bratcher, JD Stamey Biometrical Journal: Journal of Mathematical Methods in Biosciences 44 (8 …, 2002 | 19 | 2002 |
| Bayesian sample-size determination for one and two Poisson rate parameters with applications to quality control JD Stamey, DM Young, TL Bratcher Journal of Applied Statistics 33 (6), 583-594, 2006 | 18 | 2006 |
| Bayesian analysis of complementary Poisson rate parameters with data subject to misclassification JD Stamey, JW Seaman, DM Young Journal of statistical planning and inference 134 (1), 36-48, 2005 | 17 | 2005 |
Daniel P BeaversAssociate Professor of Statistical Sciences, Wake Forest UniversityVerified email at wfu.edu
