Avatar

Jeremiah Jones, PhD

Advisor - Statistics Eli Lilly and Company
Data and decision scientist, singer, tinkerer, and lover of dogs.

I’m currently an Advisor in Statistics at Eli Lilly and Company, where I work on generating evidence for efficacy and safety of promising new drugs.

Prior to starting at Lilly, I was a PhD Candidate and Graduate Research Assistant at the University of Rochester, where I studied 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:

  • Robust marginal models for efficacy and dose-response
  • 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. (under revision)
  • Jones, J., Ertefaie, A., & Strawderman, R.L. (2021). Causal Mediation Analysis: Selection with Asymptotically Valid Inference. arXiv:2110.06127. (To Appear in Journal of the Royal Statistical Society: Series B)
  • 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, 79, 521–525. https://doi.org/10.1111/biom.13681
  • Yaeger, J. P., Jones, J., Ertefaie, A., Caserta, M. T., & Fiscella, K. (2022). Derivation of a clinical-based model to detect invasive bacterial infections in febrile infants. Journal of Hospital Medicine, 1-8. https://doi.org/10.1002/jhm.12956
  • 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