In the past year investigators and staff on this project developed nonparametric sequential methods for evaluation of diagnostic biomarkers. They investigated a two-stage procedures for selecting the best diagnostic biomarkers to control the probability of incorrect selection. Methods for point and interval estimation of accuracies of a binary diagnostic biomarkers were developed following group sequential evaluation of the biomarkers'sensitivity and specificity. For biomarkers whose measurements are subject to limits of detection, the group developed maximum likelihood ratio tests for comparing the discriminatory ability of biomarkers subject to limit of detection. To design comparative diagnostic accuracy studies an adaptive approach was developed to maintain the study power due to misspecifications of nuisance parameters.

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Nansel, Tonja R; Lipsky, Leah M; Liu, Aiyi (2016) Greater diet quality is associated with more optimal glycemic control in a longitudinal study of youth with type 1 diabetes. Am J Clin Nutr 104:81-7
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Wu, Mixia; Zhang, Dianchen; Liu, Aiyi (2016) Estimation of an Accuracy Index of a Diagnostic Biomarker When the Reference Biomarker Is Continuous and Measured with Error. J Biopharm Stat :
Wu, Mixia; Shu, Yu; Li, Zhaohai et al. (2016) Repeated significance tests of linear combinations of sensitivity and specificity of a diagnostic biomarker. Stat Med 35:3397-412
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Liu, Aiyi; Yue, Lilly Q (2016) A Conversation with Dr. Greg Campbell. J Biopharm Stat :
Rigler, Shannon L; Kay, Denise M; Sicko, Robert J et al. (2015) Novel copy-number variants in a population-based investigation of classic heterotaxy. Genet Med 17:348-57

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