View a comprehensive list of publications on PubMed

• Vexler, A., Gao, X., and Zhou, J. (2023).  How to Implement Signed-rank wilcox.test () Type Procedures when A Center of Symmetry is Unknown.  Computational Statistics and Data Analysis.  Accepted.
  
• Vexler, A. and Hutson, A. (2023).  A Characterization of Most (More) Powerful Test Statistics with Simple Nonparametric Applications. The American Statistician.  Accepted.
  
• Vexler, A. and Zou, L. (2022). Linear Projections of Joint Symmetry and Independence Applied to Exact Testing Treatment Effects Based on Multidimensional Outcomes. Journal of Multivariate Analysis. Accepted.
• Vexler, A. (2020). Univariate Likelihood Projections and Characterizations of the Multivariate Normal Distribution. Journal of Multivariate Analysis. Accepted.
  
• Vexler, A. (2020). Valid p-Values and Expectations of p-Values Revisited. Annals of the Institute of Statistical Mathematics. Accepted.
  
• Vexler, A., Zou, L., and Hutson, A.D. (2019). The empirical likelihood prior applied to bias reduction of general estimating equations. Computational Statistics and Data Analysis. Accepted.
  
• Zou, L., Vexler, A., Yu, J., and Wan, H. (2019). A Sequential Density-Based Empirical Likelihood Ratio Test for Treatment Effects. Statistics in Medicine. Accepted.
• Vexler, A., Afendras, G., and Markatou, M. (2019). Multi-Panel Kendall Plot in Light of an ROC Curve Analysis Applied to Measuring Dependence. Statistics: A Journal of Theoretical and Applied Statistics. Accepted
• Vexler, A. and Yu J. (2018). "Empirical Likelihood Methods in Biomedicine and Health". Chapman & Hall/CRC Biostatistics Series. ISBN-10: 1466555033, ISBN-13: 978-1466555037
  
• Gurevich G and Vexler A. (2018). A density based empirical likelihood approach for testing bivariate normality. Journal of Statistical Computation and Simulation. Accepted
  
• Vexler, A. and Zou L. (2018). Empirical likelihood ratio tests with power one. Statistics & Probability Letters. Accepted.
  
• Vexler, A. and Yu, J. (2018). To t-Test or not To t-Test?: a P-Values-based Point of View in the ROC Curve Framework. Journal of Computational Biology. Accepted
  
• Vexler, A. and Hutson AD. (2018). “Statistics in the Health Sciences: Theory, Applications and Computing”. Chapman & Hall/CRC Biostatistics Series. ISBN-10: 1138196894; ISBN-13: 978-1138196896
• Vexler, A., Yu J, Zhao Y, Hutson AD and Gurevich G. (2017). Expected P-values in Light of an ROC Curve Analysis Applied to Optimal Multiple Testing Procedures. Statistical Methods in Medical Research. Accepted.
• Vexler, A., Zou L and Hutson A.D. (2016). An Extension to Empirical Likelihood for Evaluating Probability Weighted Moments. Journal of Statistical Planning and Inference. Accepted.
  
• Vexler, A., Hutson AD and Chen X (2016). Statistical Testing Strategies in the Health Sciences (Chapman & Hall/CRC Biostatistics Series) (Chapman & Hall/CRC Biostatistics Series)
  
• Vexler, A., Zou L and Hutson A (2016). Data-Driven Confidence Interval Estimation Incorporating Prior Information with an Adjustment for Skewed Data. The American Statistician. Accepted.
  
• Vexler, A. and Chen X (2016). Chapter 31: Statistical approaches to make decisions in clinical experiments. Oxidative Stress and Antioxidant Protection: The Science of Free Radical Biology & Disease, First Edition. Edited by Donald Armstrong and Robert D. Stsratton. (c) 2016 John Wiley & Sons, Inc. Published 2016 by John Wiley & Sons, Inc.
  
• Vexler, A., Chen X and Hutson A (2015). Dependence and Independence: Structure and Inference. Statistical Methods in Medical Research. Accepted.
• Chen X, Vexler, A. and Markatou, M. (2014). Empirical Likelihood Ratio Confidence Interval Estimation of Best Linear Combinations of Biomarkers. Computational Statistics and Data Analysis. Accepted.
  
• Vexler, A., Chen X and Yu J (2014). Evaluations and comparisons of treatment effects based on best combinations of biomarkers with applications to biomedical studies. Journal of Computational Biology. Accepted.
• Vexler, A., Tao G and Hutson A (2014). Posterior expectation based on empirical likelihoods. Biometrika. Accepted.
• Vexler, A., Tanajian H and Hutson AD (2014). Density-Based Empirical Likelihood Procedures for Testing Symmetry of Data Distributions and K-Sample Comparisons. The STATA Journal. Accepted.
• Vexler, A., Tsai W-M, Hutson AD. (2014). A Simple Density-Based Empirical Likelihood Ratio Test for Independence. The American Statistician. Accepted.
• Vexler A, Young Min Kim, Jihnhee Yu, Nicole A. Lazar, Alan D. Hutson. (2014). Computing critical values of exact tests by incorporating Monte Carlo simulations combined with statistical tables. Scandinavian Journal of Statistics. Accepted.
• Vexler A, Tsai W-M, Gurevich G and Yu J. (2012). Two-Sample Density-Based Empirical Likelihood Ratio Tests Based on Paired Data, with Application to a Treatment Study of Attention-Deficit/Hyperactivity Disorder and Severe Mood Dysregulation. Statistics in Medicine. Accepted.
• Vexler A and GurevichG. (2011). A Note on Optimality of Hypothesis Testing. Mathematics in Engineering, Science and Aerospace. Vol. 2, No.3, 243-250.
• Vexler A, Tsai W-M, Malinovsky Y. (2011). Estimation and Testing Based on Data Subject to Measurement Errors: From Parametric to Non-Parametric Likelihood Methods. Statistics in Medicine. Accepted. DOI: 10.1002/sim.4304.
• Vexler A, Shan G, Kim S, Tasi W-M, Tian L and Hutson AD. (2011). An Empirical Likelihood Ratio Based Goodness-of-Fit Test for Inverse Gaussian Distributions. Journal of Statistical Planning and Inference. 141, 2181-2140.
• Gurevich G and Vexler A. (2011). A Two-Sample Empirical Likelihood Ratio Test Based on Samples Entropy. Statistics and Computing. In Press. DOl: 10.1007/s11222-101-9199-7.
• Vexler A, Yu J. (2011). Two-Sample Density-Based Empirical Likelihood Tests for Incomplete Data in Applications to a Pneumonia Study. Biometrical Journal. 53, 628-651.
• Vexler A, Yu J, Tian L and Liu S. (2010). Two-Sample Nonparametric Likelihood Inference Based on Incomplete Data with an Application to a Pneumonia Study. Biometrical Journal. 52, 348-361.
• Gurevich G and Vexler A. (2010). Retrospective Change Point Detection: From Parametric to Distribution Free Policies. Communications in Statistics. (Simulation and Computation). 38, 899-920.
• Vexler A and Gurevich G. (2009). Empirical Likelihood Ratios Applied to Goodness-of-Fit Tests Based on Sample Entrophy. Computational Statistics and Data Analysis. 54, 531-545.
• Vexler A, Liu S, Kange L and Hutson AD. (2009). Modifications of the Empirical Likelihood Interval Estimation with Improved Coverage Probabilities. Communications in Statistics (Simulation and Computation). 38, 2171-2183
• Vexler A and Wu C. (2009). An Optimal Retrospective Change Point Detection Policy. Scandinavian Journal of Statistics. 36, 542-558
• Vexler A, Wu C, Liu A, Whitcomb BW and Schisterman EF. (2009). An extension of a change point problem. Statistics. 43:3, 213-225
• Vexler A, Wu C and Yu KF. (2008). Optimal Hypothesis Testing: From Semi to Fully Bayes Factors. Metrika. 71, 125-138.
• Vexler A. (2008). Martingale type statistics applied to change points detection. Communications in Statistics (Theory and Methods). vol. 37, Issue 8, 1207-1224
• Vexler A., Liu A, Eliseeva E and Schisterman EF. (2008). Maximum Likelihood Ratio Tests for Comparing the Discriminatory Ability of Biomarkers Subject to Limit of Detection. Biometrics. 64, 895-903
• Vexler A, Schisterman EF and Liu A. (2007).  Estimation of ROC based on stably distributed biomarkers subject to measurement error and pooling mixtures. Statistics in Medicine. 27:280-296.
• Vexler A, Liu A, Schisterman EF. (2006). Efficient Design and Analysis of Biospecimen with Measurements Subject to Detection Limit. Biometrical Journal 48  5, 780-791
• Mumford SL, Schisterman EF, Vexler A, Liu A. (2006). Pooling Biospecimens and Limits of Detection: Effects on ROC Curve Analysis. Biostatistics 7, 585-598
• 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. Vol. 18, N 2, 145-158
• Vexler A. (2006). Guaranteed testing for epidemic changes of a linear regression model. Journal of Statistical Planning and Inference. Vol. 136/9, 3101-3120
• Schisterman EF, Vexler A, Whitcomb BW, Liu A. (2006). The Limitations due to Exposure Detection Limits for Regression Models. American Journal of Epidemiology. Vol. 163, 374-383
• Gurevich G, Vexler A. (2005). Change point problems in the model of logistic regression. Journal of Statistical Planning and Inference 131/2, 313-331
• Swartz TB, Haitovsky Y, Vexler A, Yang TY. (2004). bayesian identifiability and misclassification in multinomial data. The Canadian Journal of Statistics. Vol. 32, No. 3, pp.285-302
• Vexler A. (2004). Approximations to generalized renewal measure. Stochastic processes and their Applications. vol. 113, issue 1, pp. 127-142
• Vexler A, Dmitrienko AA. (1999). Approximations to expected stopping times with applications to sequential estimation. Sequential Analysis. 18, 165-187.