Research

Preprints

1. Hudson, A. Nonparametric inference on non-negative dissimilarity measures at the boundary of the parameter space. [arxiv]
2. Hudson, A., Geng, E. H., Odeny, T. A., Bukusi, E. A., Petersen, M. L., van der Laan, M. J. An Approach to Nonparametric Inference on the Causal Dose Response Function. [arxiv]
3. Hudson, A., Carone, M., & Shojaie, A. Inference on function-valued parameters using a restricted score test. [arXiv] [code]
4. Hudson, A., & Shojaie, A. Statistical Inference for Qualitative Interactions with Applications to Precision Medicine and Differential Network Analysis. [arXiv] [code]

Published/Accepted

1. Hudson, A., & Shojaie, A (2021). Covariate-Adjusted Inference for Differential Analysis of High-Dimensional Networks. Sankhya A. [paper] [code]
2. Culpepper, S. A., & Hudson, A. (2018). An Improved Strategy for Bayesian Estimation of the Reduced Reparameterized Unified Model. Applied psychological measurement, 42(2), 99–115. [paper] [code]
3. Zeigler-Johnson, C., Hudson, A., Glanz, K., Spangler, E., & Morales, K. H. (2018). Performance of prostate cancer recurrence nomograms by obesity status: a retrospective analysis of a radical prostatectomy cohort. BMC cancer, 18(1), 1061. [paper]