Year | Citation | Score | |||
---|---|---|---|---|---|
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 | 0.41 | |||
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 | 0.493 | |||
2010 | Cheng D, Branscum AJ, Stamey JD. Accounting for response misclassification and covariate measurement error improves power and reduces bias in epidemiologic studies. Annals of Epidemiology. 20: 562-7. PMID 20538200 DOI: 10.1016/J.Annepidem.2010.03.012 | 0.557 | |||
2010 | Cheng D. Bayesian Design to Evaluate Biomarker Development: Sample Size Determination from Both Parametric and Nonparametric Perspectives Journal of Molecular Biomarkers & Diagnosis. 1. DOI: 10.4172/2155-9929.1000072 | 0.3 | |||
2010 | Cheng D, Branscum AJ, Stamey JD. A Bayesian approach to sample size determination for studies designed to evaluate continuous medical tests Computational Statistics and Data Analysis. 54: 298-307. DOI: 10.1016/J.Csda.2009.09.024 | 0.603 | |||
2009 | Cheng D, Stamey JD, Branscum AJ. Bayesian approach to average power calculations for binary regression models with misclassified outcomes. Statistics in Medicine. 28: 848-63. PMID 19061210 DOI: 10.1002/Sim.3505 | 0.616 | |||
2007 | Cheng D, Stamey JD, Branscum AJ. A general approach to sample size determination for prevalence surveys that use dual test protocols. Biometrical Journal. Biometrische Zeitschrift. 49: 694-706. PMID 17722203 DOI: 10.1002/Bimj.200710365 | 0.589 | |||
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