Assisant Professor James P. Long

About Dr. Long

James P. Long, Ph.D., is Assistant Professor in the Department of Biostatistics at MD Anderson.

He develops statistical methodology for analyzing complex data sets arising from scientific applications. He has published work in the areas of predictive modeling, signal frequency estimation, measurement error models, and functional data analysis. His current research focuses on causal mediation analysis and causal prediction with applications to cancer and genomic data sets.

Visit Dr. Long’s personal website for more information on his teaching and research.

Take a look at a cool project!

Education

• B.A. (Mathematics and Statistics, Columbia University, 2008),
• Ph.D. (Statistics, University of California, Berkeley, 2013).

Selected Publications

Peer-Reviewed Articles

1. Y Yan, N Sun, H Wang, M Kobayashi, JJ Ladd, JP Long, KC Lo, J Patel, …. Whole Genome–Derived Tiled Peptide Arrays Detect Prediagnostic Autoantibody Signatures in Non–Small-Cell Lung Cancer. Cancer research 79 (7), 1549-1557
2. Z Lin, JP Long. A Flexible Procedure for Mixture Proportion Estimation in Positive–Unlabeled Learning. arXiv preprint arXiv:1801.09834
3. JP Long. A note on parameter estimation for misspecified regression models with heteroskedastic errors. Electronic Journal of Statistics 11 (1), 1464-1490
4. B Salmon, C Papovich, J Long, SP Willner, SL Finkelstein, HC Ferguson, …. Breaking the Curve with CANDELS: A Bayesian Approach to Reveal the Non-Universality of the Dust-Attenuation Law at High Redshift. The Astrophysical Journal 827 (1), 20
5. V Tilvi, C Papovich, SL Finkelstein, J Long, M Song, M Dickinson, …. Rapid decline of Lyα emission toward the reionization era. The Astrophysical Journal 794 (1), 5