Jacqueline Hughes-Oliver

Ash, J. R., & Hughes-Oliver, J. M. (2022). Confidence bands and hypothesis tests for hit enrichment curves. JOURNAL OF CHEMINFORMATICS, 14(1). https://doi.org/10.1186/s13321-022-00629-0

Hughes-Oliver, J. M., Xu, G., & Baynes, R. E. (2018). Skin Permeation of Solutes from Metalworking Fluids to Build Prediction Models and Test A Partition Theory. MOLECULES, 23(12). https://doi.org/10.3390/molecules23123076

Ash, J. R., & Hughes-Oliver, J. M. (2018). chemmodlab: a cheminformatics modeling laboratoryR package for fitting and assessing machine learning models. JOURNAL OF CHEMINFORMATICS, 10. https://doi.org/10.1186/s13321-018-0309-4

Hughes-Oliver, J. M. (2017). Mentoring to achieve diversity in graduate programs. American Statistician, 71(1), 55–60. https://doi.org/10.1080/00031305.2016.1255661

Zhang, K., Hughes-Oliver, J. M., & Young, S. S. (2013). Analysis of High-Dimensional Structure-Activity Screening Datasets Using the Optimal Bit String Tree. Technometrics, 55(2), 161–173. https://doi.org/10.1080/00401706.2012.760489

Xu, G., Hughes-Oliver, J. M., Brooks, J. D., & Baynes, R. E. (2013). Predicting skin permeability from complex chemical mixtures: incorporation of an expanded QSAR model. SAR and QSAR in Environmental Research, 24(9), 711–731. https://doi.org/10.1080/1062936X.2013.792875

Xu, G., Hughes-Oliver, J. M., Brooks, J. D., Yeatts, J. L., & Baynes, R. E. (2013). Selection of appropriate training and validation set chemicals for modelling dermal permeability by U-optimal design. SAR and QSAR in Environmental Research, 24(2), 135–156. https://doi.org/10.1080/1062936X.2012.742458

Nail, A. J., Hughes-Oliver, J. M., & Monahan, J. F. (2011). Quantifying Local Creation and Regional Transport Using a Hierarchical Space-Time Model of Ozone as a Function of Observed NOx , a Latent Space-Time VOC Process, Emissions, and Meteorology. JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 16(1), 17–44. https://doi.org/10.1007/s13253-010-0028-4

Heo, T. Y., & Hughes-Oliver, J. M. (2010). Uncertainty adjustments to deterministic atmospheric dispersion models. International Journal of Environment and Pollution, 42(1-3), 85–106.

Zhang, Q., Hughes-Oliver, J. M., & Ng, R. T. (2009). A Model-Based Ensembling Approach for Developing QSARs. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 49(8), 1857–1865. https://doi.org/10.1021/ci900080f

Hughes-Oliver, J. M., Heo, T.-Y., & Ghosh, S. K. (2009). An autoregressive point source model for spatial processes. ENVIRONMETRICS, 20(5), 575–594. https://doi.org/10.1002/env.957

Liu, J., Hughes-Oliver, J. M., & Menius, A., Jr. (2007). Domain-enhanced analysis of microarray data using GO annotations. BIOINFORMATICS, 23(10), 1225–1234. https://doi.org/10.1093/bioinformatics/btm092

Remlinger, K. S., Hughes-Oliver, J. M., Young, S. S., & Lam, R. L. (2006). Statistical design of pools using optimal coverage and minimal collision. TECHNOMETRICS, 48(1), 133–143. https://doi.org/10.1198/004017005000000481

Yi, B. M., Hughes-Oliver, J. M., Zhu, L., & Young, S. S. (2002). A factorial design to optimize cell-based drug discovery analysis. JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 42(5), 1221–1229. https://doi.org/10.1021/ci025509n

Zhu, L., Hughes-Oliver, J. M., & Young, S. S. (2001). Statistical decoding of potent pools based on chemical structure. Biometrics, 57(3), 922–930. https://doi.org/10.1111/j.0006-341X.2001.00922.x

Hughes-Oliver, J. M., & Rosenberger, W. F. (2000). Efficient estimation of the prevalence of multiple rare traits. BIOMETRIKA, 87(2), 315–327. https://doi.org/10.1093/biomet/87.2.315

Boos, D. D., & Hughes-Oliver, J. M. (2000). How large does n have to be for Z and t intervals? AMERICAN STATISTICIAN, 54(2), 121–128. https://doi.org/10.2307/2686030

Su, C., Lu, J. C., Chen, D., & Hughes-Oliver, J. M. (1999). A random coefficient degradation model with ramdom sample size. LIFETIME DATA ANALYSIS, 5(2), 173–183. https://doi.org/10.1023/A:1009653529152

Lu, J. C., Liu, S. P., Yin, M., & Hughes-Oliver, J. M. (1999). Modeling restricted bivariate censored lowflow data. ENVIRONMETRICS, 10(2), 125–136. https://doi.org/10.1002/(SICI)1099-095X(199903/04)10:2<125::AID-ENV340>3.3.CO;2-P

Hughes-Oliver, J. M., & Gonzalez-Farias, G. (1999). Parametric covariance models for shock-induced stochastic processes. JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 77(1), 51–72. https://doi.org/10.1016/S0378-3758(98)00186-4

Hughes-Oliver, J. M., Lu, J. C., Davis, J. C., & Gyurcsik, R. S. (1998). Achieving uniformity in a semiconductor fabrication process using spatial modeling. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 93(441), 36–45. https://doi.org/10.2307/2669600

Boos, D. D., & Hughes-Oliver, J. M. (1998). Applications of Basu's theorem. AMERICAN STATISTICIAN, 52(3), 218–221. https://doi.org/10.2307/2685927

Chen, D., Lu, J. C., Hughes-Oliver, J. M., & Li, C. S. (1998). Asymptotic properties of maximum likelihood estimates for a bivariate exponential distribution and mixed censored data. METRIKA, 48(2), 109–125. https://doi.org/10.1007/s001840050003

Hughes-Oliver, J. M., Gonzalez-Farias, G., Lu, J. C., & Chen, D. (1998). Parametric nonstationary correlation models. STATISTICS & PROBABILITY LETTERS, 40(3), 267–278. https://doi.org/10.1016/S0167-7152(98)00103-5