Jeremiah Jones

PhD Candidate University of Rochester

Statistician, singer, tinkerer, and lover of dogs.

Hello, and welcome to my site!

I’m a Statistician and Graduate Research Assistant at the University of Rochester, studying to complete my PhD under Drs. Ashkan Ertefaie and Robert L. Strawderman.

My statistical research focuses on the intersection of causal inference with high dimensionality, selection, and nonregular inference problems. Some of my interests are:

Causal mediation analysis
Variable selection methods in causal Inference settings
Post-selection inference techniques
Personalized medicine through dynamic treatment regimes

Preprints and Publications

Jones, J., Ertefaie, A., & Strawderman, R.L. (2022). Valid post-selection inference in Robust Q-learning. arXiv:2208.03233. (preprint)
Jones, J., Ertefaie, A., & Strawderman, R.L. (2021). Causal Mediation Analysis: Selection with Asymptotically Valid Inference. arXiv:2110.06127. (under review)
Jones, J., Ertefaie, A., & Strawderman, R.L. (2021). Post-Selection Inference for Individualized Treatment Rules with Nonparametric Confounding Control. In Handbook of Precision Medicine. (accepted)
Jones, J., Ertefaie, A. & Shortreed, S.M. (2022). Rejoinder to “Reader reaction to ‘Outcome-adaptive Lasso: Variable selection for causal inference’ by Shortreed and Ertefaie (2017)”. Biometrics, 00, 1–5. https://doi.org/10.1111/biom.13681
Yaeger, J.P., Jones, J., Ertefaie, A., Caserta, M. T., van Wijngaarden, E., & Fiscella, K. (2022). Refinement and Validation of a Clinical-Based Approach to Evaluate Young Febrile Infants. Hospital Pediatrics, 12(4), 399-407. https://doi.org/10.1542/hpeds.2021-006214
Yaeger, J. P., Lu, J., Jones, J., Ertefaie, A., Fiscella, K., & Gildea, D. (2022). Derivation of a natural language processing algorithm to identify febrile infants. Journal of Hospital Medicine, 17(1), 11–18. https://doi.org/10.1002/jhm.2732
Yaeger, J. P., Jones, J., Ertefaie, A., Caserta, M. T., van Wijngaarden, E., & Fiscella, K. (2021). Using clinical history factors to identify bacterial infections in young febrile infants. The Journal of Pediatrics, 232, 192-199. https://doi.org/10.1016/j.jpeds.2020.12.079