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Biostatistics Seminar Series: 02/08 Monday 2pm, “Nonparametric estimation of distributions and diagnostic accuracy based on group-tested results with differential misclassification”, Dr. Aiyi Liu of National Institutes of Health.


Dear Colleagues,


The Division of Biostatistics at the Department of Preventive Medicine invites you to attend the following seminar.

Time: 02/08 Monday 2pm

ZOOM Virtual Room Connection:

Register in advance for this meeting:


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Speaker: Dr. Aiyi Liu (NIH)

Title: “Nonparametric estimation of distributions and diagnostic accuracy based on group-tested results with differential misclassification”

Abstract: This talk concerns the problem of estimating a continuous distribution in a diseased or nondiseased population when only group-based test results on the disease status are available. The problem is challenging in that individual disease statuses are not observed and testing results are often subject to misclassification, with further complication that the misclassification may be differential as the group size and the number of the diseased individuals in the group vary. We propose a method to construct nonparametric estimation of the distribution and obtain its asymptotic properties. The performance of the distribution estimator is evaluated under various design considerations concerning group sizes and classification errors. The method is exemplified with data from the National Health and Nutrition Examination Survey (NHANES) study to estimate the distribution and diagnostic accuracy of C-reactive protein in blood samples in predicting chlamydia incidence.

(Manuscript Link: https://onlinelibrary.wiley.com/doi/full/10.1111/biom.13236?casa_token=Vvnlj12BzywAAAAA%3AtbU2vkIy-qB9aktOazmwOvebHll3Y8xftN2JWEzMjLH2bM8rl2srjS4Yq6C12oEhLFVsn0j9x1hZAlA)

Bio: Dr. Aiyi Liu is a senior investigator at Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD/NIH). His research interests in statistical methods development center around sequential methodology and adaptive designs with applications to clinical trials and other medical studies; robust methods for multidimensional outcomes, design, analysis, and evaluation of complex biomarkers in diagnosis and prediction of diseases; and methods for semicontinuous outcomes, such as episodically consumed foods.

Speaker’s webpage: https://www.nichd.nih.gov/about/org/diphr/officebranch/bbb/liu


We look forward to seeing you all among us.


Chi-Yang Chiu, Ph.D.

Assistant Professor of Biostatistics

Department of Preventive Medicine, UTHSC