BBB investigators, in collaboration with the Epidemiology Branch, are developing new methods for analyzing both exposure and outcome data, which suffers from measurement error and missing data. Ignoring or insufficiently addressing measurement error or missing data can lead to substantial loss of efficiency and bias. Measurement error is considered from a variety of perspectives and sources, from detection limits to batch variation and intra-individual variability, with an equally diverse set of methods to address these errors. BBB investigators are also developing missing data implications and techniques to conduct proper inference.
Principal Investigators
Neil J. Perkins, Ph.D., and Aiyi Liu, Ph.D.
Selected Publications
Wu, M., Zhang, X., Zhang, W., Zhang, X., & Liu, A. (in press). Error-corrected estimation of a diagnostic accuracy index of a biomarker against a continuous gold standard. Statistics in Medicine.
Chen, C., Shen, B., Liu, A., Wu, R., & Wang, M. (2020). A multiple robust propensity score method for longitudinal analysis with intermittent missing data. Biometrics. PMID: 32662124
Perkins, N. J., Weck, J., Mumford, S. L., Sjaarda, L. A., Mitchell, E. M., Pollack, A. Z., & Schisterman, E. F. (2019). Combining biomarker calibration data to reduce measurement error. Epidemiology, 30(Suppl 2), S3-S9. PMID: 31569147
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.
Perkins, N. J., Cole, S. R., Harel, O., Tchetgen, T. E. J., Sun, B. L., Mitchell, E. M., & Schisterman, E. F. (2017). Principled approaches to missing data in epidemiologic studies. American Journal of Epidemiology, 187(3), 568-575. PMID: 29165572
Harel, O., Mitchell, E. M., Perkins, N. J., Cole, S. R., Tchetgen, T. E. J., Sun, B., & Schisterman, E. F. (2017). Multiple imputation for incomplete data in epidemiologic studies. American Journal of Epidemiology, 187(3), 576-584. PMID: 29165547
Sun, B., Perkins, N. J., Cole, S. R., Harel, O., Mitchell, E., Schisterman, E. F., Tchetgen, T. E. J. (2017). Inverse probability weighted estimation for monotone and nonmonotone missing data. American Journal of Epidemiology, 187(3), 585-591. PMID: 29165557
Wu, M. X., Zhang, D., & Liu, A. (2016). Estimation of a diagnostic accuracy index of a diagnostic biomarker when the reference gold standard is continuous and measured with error. Journal of Biopharmaceutical Statistics, 26(6), 1111-1117. PMID: 27548574
Liu, C., Liu, A., Hu, J., Yuan, V. W., & Halabi, S. (2014). Adjusting for misclassification in stratified biomarker clinical trials. Statistics in Medicine, 33(18), 3100-3113. PMID: 24733510
Albert, P. S., Liu, A., & Nansel, T. R. (2014). Efficient logistic regression designs under an imperfect population identifier. Biometrics, 70(1), 175-184. PMID: 24261471
Vexler, A., Liu, A., Eliseeva, E., & Schisterman, E. F. (2008). Maximum likelihood ratio tests for comparing the discriminatory ability of biomarkers subject to limit of detection. Biometrics, 64(3), 95-903. PMID: 18047527
Vexler, A., Schisterman, E. F., & Liu, A. (2008). Estimation of ROC curves based on stably distributed biomarkers subject to measurement error and pooling mixtures. Statistics in Medicine, 27(2), 280–296. PMID: 17721905
Liu, A., Schisterman, E. F., & Wu, C. Q. (2006). Multistage evaluation of measurement error in a reliability study. Biometrics, 62(4), 1190–1196. PMID: 17156294
Mumford, S. L., Schisterman, E. F., Vexler, A., & Liu, A. (2006). Pooling biospecimens and limits of detection: effects on ROC curve analysis. Biostatistics, 7(4), 585-598. PMID: 16531470
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