BBB Research: Biomarker Data Analysis

Methodological issues inherent in designing and analyzing studies with biomarker measurements occur in most of the division's research, often motivating independent methodological research projects. BBB investigators, in collaboration with Epidemiology Branch investigators, are designing new ways to pool biomarker specimens in epidemiologic and clinical studies to increase power and reduce costs, especially in longitudinal studies. Methods for inter-rater agreement and diagnostic accuracy are other important biomarker-related areas of BBB research born from the division’s collaborative focus.

Principal Investigators

Zhen Chen, Ph.D.; Aiyi Liu, Ph.D.; and Neil J. Perkins, Ph.D.

Selected Publications

Chen, Z., & Ghosal, S. (2020). A note on modeling placement values in the analysis of receiver operating characteristics curves. Biostatistics & Epidemiology. DOI: 10.1080/24709360.2020.1737794 external link

Chen, Z., & Hwang, B. S. (2019). A Bayesian semiparametric approach to correlated ROC surfaces with stochastic order constraints. Biometrics, 75(2):539-50. PMID: 30390405

Kim, S., Chen, Z., Perkins, N. J., Schisterman, E. F., Buck, L. G. M. (2019). A model-based approach to limit of detection in studying persistent environmental chemical exposures and human fecundity. Statistics in Biosciences: Journal of the International Chinese Statistical Association, 11(3), 524-547. DOI: 10.1007/s12561-019-09243-5 external link

Chen, Z., Hwang, B. S., & Kim, S. (2019). A correlated Bayesian rank likelihood approach to multiple ROC curves for endometriosis. Statistics in Medicine, 38(8):1374-1385. PMID: 30421556

Van Domelen, D. R., Mitchell, E. M., Perkins, N. J., Schisterman, E. F., Manatunga, A. K., Huang, Y., & Lyles, R. H. (2019). Gamma models for estimating the odds ratio for a skewed biomarker measured in pools and subject to errors. Biostatistics, kxz028. PMID: 31373355

Van Domelen, D. R., Mitchell, E. M., Perkins, N. J., Schisterman, E. F., Manatunga, A. K., Huang, Y., & Lyles, R. H. (2018). Logistic regression with a continuous exposure measured in pools and subject to errors. Statistics in Medicine, 37(27), 4007-4021. PMID: 30022497. PMCID: PMC6204302

Perkins, N. J., Mitchell, E. M., Lyles, R. H., & Schisterman, E. F. (2016). Case-control data analysis for randomly pooled biomarkers. Biometrical Journal, 58(5), 1007-1020. PMID: 26824757. PMCID: PMC5588030

Hwang, B. S., & Chen, Z. (2015). An integrated Bayesian nonparametric approach for stochastic and variability orders in ROC curve estimation: an application to endometriosis diagnosis. Journal of the American Statistical Association, 110(511), 923-934. PMID: 26839441. PMCID: PMC4733471

Perkins, N. J., & Schisterman, E. F. (2006). The inconsistency of “optimal” cutpoints obtained using two criteria based on the receiver operating characteristic curve. American Journal of Epidemiology, 163(7), 670-675. PMID: 16410346. PMCID: PMC1444894

top of pageBACK TO TOP