Statistical Methods for Evaluation of Biomarkers

Liu, Aiyi

Abstract

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.

Funding Agency

• Agency: National Institute of Health (NIH)
• Institute: Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
• Type: Investigator-Initiated Intramural Research Projects (ZIA)
• Project #: 1ZIAHD008875-05
• Application #: 8736917
• Support Year: 5
• Fiscal Year: 2013
• Total Cost: $66,307

Institution

• Name: Eunice Kennedy Shriver National Institute of Child Health & Human Development

Publications

Gee, B T; Nansel, T R; Liu, A (2017) Reduction of hypoglycaemic events with a behavioural intervention: a randomized clinical trial for paediatric patients with Type 1 diabetes mellitus. Diabet Med 34:340-347

Yin, Lixuan; Diao, Guoqing; Liu, Aiyi (2017) A semiparametric method for comparing the discriminatory ability of biomarkers subject to limit of detection. Stat Med 36:4141-4152

Zhang, Wei; Yang, Liu; Tang, Larry L et al. (2017) GATE: an efficient procedure in study of pleiotropic genetic associations. BMC Genomics 18:552

Boghossian, Nansi S; Sicko, Robert J; Kay, Denise M et al. (2016) Rare copy number variants implicated in posterior urethral valves. Am J Med Genet A 170:622-33

Kang, Le; Liu, Aiyi; Tian, Lili (2016) Linear combination methods to improve diagnostic/prognostic accuracy on future observations. Stat Methods Med Res 25:1359-80

Zhu, Yeyi; Olsen, Sjurdur F; Mendola, Pauline et al. (2016) Growth and obesity through the first 7 y of life in association with levels of maternal glycemia during pregnancy: a prospective cohort study. Am J Clin Nutr 103:794-800

Cai, Xiaoyu; Li, Huiyun; Liu, Aiyi (2016) A marginal rank-based inverse normal transformation approach to comparing multiple clinical trial endpoints. Stat Med 35:3259-71

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

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

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 26:1111-1117