Principal investigator: Enrique F. Schisterman, Ph.D.
Laboratory diagnostic tests are central in the practice of modern medicine. Common indices include screening a specific population for evidence of disease and confirming a tentative diagnosis in an individual patient. The interpretation of a diagnostic test result depends on both the ability of the test to distinguish diseased from non-diseased subjects, and on the particular characteristics of the patient and setting in which the test is used.

For convenience, a diagnostic test will be called continuous, dichotomous, or ordinal according to whether the test yields a continuous measurement (e.g., blood pressure), a dichotomous result (e.g., HIV-positive or HIV-negative), or an ordinal outcome (e.g., confidence rating for presence of disease - definitely, probably, possibly, probably not, definitely not) respectively. The main focus here is on continuous diagnostic tests, because the majority of laboratory diagnostic tests are of this type and because many of the oxidative stress markers are measured on a continuous scale.
 
DESPR Collaborators 

· Aiyi Liu, Ph.D.
· Neil Perkins, Ph.D.

 
Selected Publications

Vexler A, Schisterman EF, & 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. [Abstract]

Schisterman EF, Faraggi D, Reiser B, & Hu J. (2008). Youden index and the optimal threshold for markers with mass at zero. Statistics in Medicine, 27(2):297-315 [Abstract]

Schisterman EF & Perkins N. (2007). Confidence intervals for the Youden index and corresponding optimal cut-point. Communications in Statistics: Simulations and Computations, 36:549-563.

Perkins NJ, Schisterman EF, & Vexler A. (2007). Receiver operating characteristic curve inference from a sample with a limit of detection. American Journal of Epidemiology, 165:325-333.  [Abstract]

Vexler A, Liu A, & Schisterman EF. (2006). Efficient design and analysis of biospecimens with measurements subject to detection limit. Biometrical Journal, 48:780-791.  [Abstract]

Mumford SL, Schisterman EF, Vexler A, & Liu A. (2006). Pooling biospecimens and limits of detection: effects on ROC curve analysis. Biostatistics, 7:585-598. [Abstract]

Vexler A, Liu A, Schisterman EF, & Wu C. (2006). A note on distribution-free estimation of maximum linear separation of two multivariate distributions. Journal of Nonparametric Statistics, 18:145-158.

Perkins NJ & Schisterman EF. (2006). The inconsistency of "optimal" cutpoints obtained using two criteria based on the receiver operating characteristic curve. American Journal of Epidemiology, 163:670-675. [Abstract]

Rotnitzky A, Faraggi D, & Schisterman EF. (2006). Doubly robust estimators of the area under the receiver operating characteristic curve in the presence of verification bias. Journal of the American Statistical Association: Theory and Methods, 101:1275-1288.

Schisterman EF, Reiser B, & Faraggi D. (2006). ROC analysis for markers with mass at zero. Statistics in Medicine, 25:623-638.  [Abstract]

Liu A, Schisterman EF, & Wu CQ. (2005). Nonparametric estimation and hypothesis testing on the partial area under receiver operating characteristic curves.  Communications in Statistics: Theory and Methods, 34:2077-2088. (Authorship in alphabetical order).

Liu A, Schisterman EF, & Zhu Y. (2005). On linear combinations of biomarkers to improve diagnostic accuracy. Statistics in Medicine, 24(1):37-47. (Authorship in alphabetical order) [Abstract]

Liu A, Schisterman EF, & Mazumdar M. (In press). Design and analysis of comparative diagnostic accuracy studies with multiple correlated test results. Statistics in Medicine.

Schisterman EF, Faraggi D, & Reiser B. (2004). Adjusting the generalized ROC curve for covariates. Statistics in Medicine, 23(21):3319-3331. [Abstract]

Schisterman EF & Rotnitzky A. (2001). Estimation of the mean of a K-sample U-statistic with missing outcomes and auxiliaries. Biometrika, 88(33):713-72.