James D. Stamey - Concepedia

Author

James D. Stamey

Also Known As

J. D. Stamey, J. Stamey, J.D. Stamey, James D Stamey, James D. Stamey, James Stamey, Stamey, J. D., Stamey, James, Stamey, James D

117

Publications

Citations

H-Index

Concepts

All Affiliations

Baylor University Eli Lilly (United States)Baylor Scott & White Health University of Kentucky Wake Forest University

About

James D. Stamey is an author at Baylor University specializing in statistics, statistical inference, and public health.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Public Health	11	13	301
2	Medicine	10	10	247
3	Biostatistics	7	7	133
4	Engineering	4	4	92
5	Data Science	3	3	58

James D. Stamey

Publications

642

Citations

H-Index

Page 1

	Year	Citations
Hidden Dangers of Specifying Noninformative Priors John W. Seaman, John W. Seaman, James D. Stamey The American Statistician	2012	79
Using Bland−Altman to Assess Agreement between Two Medical Devices – Don’t Forget the Confidence Intervals! Cody Hamilton, James D. Stamey Journal of Clinical Monitoring and Computing Medical EthicsConfidence IntervalsPatient SafetyPatient-reported OutcomeClinical Decision Support	2007	69
Confidence intervals for a binomial parameter based on binary data subject to false-positive misclassification Doyle Boese, Dean M. Young, James D. Stamey Computational Statistics & Data Analysis Confidence IntervalsUncertainty QuantificationBinomial ParameterBiostatisticsStatistical Inference	2005	40
Bayesian model selection for logistic regression with misclassified outcomes Richard Gerlach, James D. Stamey Statistical Modelling Bayesian StatisticBayesian StatisticsEpidemiologySelection BiasPredictive Analytics	2007	37
A Bayesian approach to adjust for diagnostic misclassification between two mortality causes in Poisson regression James D. Stamey, Dean M. Young, John W. Seaman Statistics in Medicine	2007	37
Modern Mathematical Statistics with Applications James D. Stamey The American Statistician EngineeringEstimation StatisticAmerican StatisticianStatistical InferenceProbability Theory	2008	35
Bayesian sensitivity analysis methods to evaluate bias due to misclassification and missing data using informative priors and external validation data George Luta, Melissa Ford, Melissa L. Bondy, Cancer Epidemiology Bayesian StatisticBayesian StatisticsEngineeringSelection BiasData Science	2013	32
Bayesian methods for design and analysis of safety trials Karen Price, H. Amy Xia, Mani Lakshminarayanan, Pharmaceutical Statistics Bayesian StatisticSafety ScienceBayesian InferencePreventive MedicineProbabilistic Safety Assessment	2013	25
Evaluating the Impact of Unmeasured Confounding with Internal Validation Data: An Example Cost Evaluation in Type 2 Diabetes Douglas E. Faries, Xiaomei Peng, Manjiri Pawaskar, Value in Health Unmeasured ConfoundingHealth EconomicsMedicineDiabetesType 2	2013	22
Accounting for Response Misclassification and Covariate Measurement Error Improves Power and Reduces Bias in Epidemiologic Studies Dunlei Cheng, Adam J. Branscum, James D. Stamey Annals of Epidemiology Retrospective Cohort StudyEpidemiological OutcomeResponse MisclassificationBiasPatient Safety	2010	22

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