Ashkan Ertefaie, PhD
Associate Professor
Ph.D. (2011) McGill University
Contact Information
University of Rochester
Dept of Biostatistics and Computational Biology
265 Crittenden Boulevard, CU 420630
Rochester, New York 14642-0630
Office: Saunders Research Building 4205
Phone: (585) 275-2138
Fax: (585) 273-1031
E-mail: Ashkan_Ertefaie@urmc.rochester.edu
Personal Website: https://ertefaie.com
Research Interests
My methodological research interest lies in causal inference, dynamic treatment regimes, sequential multiple assignment randomized trials, comparative effectiveness studies using electronic health records, instrumental variable analyses, high-dimensional data analysis, post selection inference, and survival analysis.
Particularly, I am interested in methodologies that lead to constructing the optimal sequence of treatments in chronic diseases where patients are monitored and treated throughout their life. Thus far, I have been primarily motivated by applications in health services, medicine and criminal justice.
Selected Publications
- Sun, H., Lu, X., Ertefaie, A., Johnson, B. (2021) Improved Doubly Robust Estimation in Marginal Mean Models for Dynamic Regimes, Journal of Causal Inference, in press.
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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.
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Ertefaie A, McKay J. R., Oslin D., and Strawderman R. L. (2020). Robust Q-Learning. Journal of the American Statistical Association, to appear.
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Dasgupta, N, Schwarz, J., Hennessy, S., Ertefaie, A., Dart, R. C. (2019) Causal inference for evaluating prescription opioid abuse using trend-in-trend design. Pharmacoepidemiology and Drug Safety, 28(5), 716-725.
- Ertefaie, A., and Strawderman, R. L. (2018), Constructing dynamic treatment regimes over indefinite time horizons. Biometrika, 105(4), 963-977.
- Ertefaie, A., Nguyen, A., Harding, D., Morenoff, J, and Yang, W. (2018), Instrumental Variable Analysis with Censored Data in the Presence of Many Weak Instruments: Application to the Effect of Being Sentenced to Prison on Time to Employment. Annals of Applied Statistics, 12(4), 2647-2673.
- Artman, W. J.*, Nahum-Shani, I., Wu, T., Mckay, J. R., and Ertefaie, A. (2018). Power analysis in a SMART design: sample size estimation for determining the best embedded dynamic treatment regime. Biostatistics. https://doi.org/10.1093/biostatistics/kxy064.
- Ertefaie, A., Hsu, J., and Small, D. (2018), Discovering Treatment Effect Heterogeneity through Post-treatment Variables with Application to the Effect of Class Size on Math Scores. Journal of the Royal Statistical Society: Series C, 67(4), 917-938.
- Ertefaie, A., Small, D. S., Ji, X., Leonard, C., and Hennessy, S. (2018). Statistical Power for Trend-in-trend Design. Epidemiology, 29(3), e21-e23.
- Kaufman, E. J., Ertefaie, A., Small, D. S., Holena, D. N., and Delgado, M. K. (2018). Comparative Effectiveness of Initial Treatment at Trauma Center vs Neurosurgery-Capable Non-Trauma Center for Severe, Isolated Head Injury. Journal of the American College of Surgeons, 226(5), 741-751.
- Ertefaie, A., Small, D., and Rosenbaum, P. (2017), Quantitative Evaluation of the Trade-off of Strengthened Instruments and Sample Size in Observational Studies. Journal of the American Statistical Association, 113(523), 1122-1134.
- Ertefaie, A., Asgharian, M. and Stephens, A. D. (2017), Variable Selection in Causal Inference using a Simultaneous Penalization Method. Journal of Causal Inference, 6(1).
- Shortreed, S., and Ertefaie, A. (2017), Outcome-adaptive Lasso Variable Selection for Causal Inference. Biometrics, 73(4), 1111-1122.
- Ertefaie, A., Flory, J. H., Hennessy, S., and Small, D. (2017), Instrumental Variable Methods for Continuous Outcomes that Accommodate Non-ignorable Missing Baseline Values. American Journal of Epidemiology, 185(12), 1233-1239.
- Ertefaie, A., Small, D., Flory, J. H., and Hennessy, S. (2017) A Tutorial on the Use of Instrumental Variables in Pharmacoepidemiology. Pharmacoepidemiology and Drug Safety, 26(4), 357-367.
- Nahum-Shani, I., Ertefaie, A., Lu, X., Almirall, D., Lynch, K. G., McKay, J. R., and Oslin, D. (2017), A SMART Data Analysis Method for Constructing Adaptive Treatment Strategies in Substance Use Disorders. Addiction, 112(5), 901-909.
- Ertefaie, A., Small, D., Flory, J. H., Hennessy, S. (2016) A Sensitivity Analysis to Assess Bias Due to Selecting Subjects Based on Treatment Received, Epidemiology, 27, 2, e5-e7.
- Ertefaie, A., Wu, T., Lynch, K. G., Nahum-Shani, I. (2016) Identifying a Set that Contains the Best Dynamic Treatment Regimes. Biostatistics, 17(1), 135-148.
- Ertefaie, A., Small, D., Flory, J. H., and Hennessy, S. (2016) Selection Bias when using Instrumental Variable Methods to Compare two Treatments but more than two Treatments are Available. International Journal of Biostatistics, 12,1, 219-232.
- Ertefaie, A., Shortreed, S., and Chakraborty, B. (2016), Q-learning Residual Analysis: Application to The Effectiveness of Sequences of Antipsychotic Medications for Patients with Schizophrenia. Statistics in Medicine, 35(13), 2221-2234.
- Ertefaie, A., Asgharian, M. and Stephens, A. D. (2015) Double Bias: Estimation of Causal Effects from Length-Biased Samples in the Presence of Confounding, International Journal of Biostatistics, 11, 1, 69-89.
- Ertefaie, A., Asgharian, M. and Stephens, A. D. (2014). Propensity Score Estimation in the Presence of Length-biased Sampling: A Non-parametric Adjustment Approach. Stat, 3(1), 83-94.
- Ertefaie, A. and Stephens, A. D. (2010). Comparing Approaches to Causal Inference for Longitudinal Data: Inverse Probability of Treatment Weighting versus Propensity Scores, International Journal of Biostatistics, 6, 2.