Ashkan Ertefaie, PhD
Ph.D. (2011) McGill University
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
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.
- Ertefaie, A. Constructing Dynamic Treatment Regime in Infinite-Horizon Settings. arXiv:1406.0764 (under review)
- Ertefaie, A., Small, S. D., and Rosenbaum, R. P. (2017) Quantitative Evaluation of the Trade-off of Strengthened Instruments and Sample Size in Observational Studies. Journal of the American Statistical Association.
- Ertefaie, A., Hsu, J., and Small, D., Discovering Treatment Effect Heterogeneity through Post-treatment Variables with Application to the Effect of Class Size on Math Scores. (under review)
- Ertefaie, A., Asgharian, M., Stephens, A. D. Estimation of Average Treatment Effects using a Simultaneous Penalization Method. arXiv:1511.08501 (under review)
- Shortreed, S., and Ertefaie, A. (2017) Outcome-adaptive Lasso Variable Selection for Causal Inference. Biometrics.
- Ertefaie, A., Small, D., Flory, H. J., and Hennessy, S. (2017) A Tutorial on the Use of Instrumental Variables in Pharmacoepidemiology. Pharmacoepidemiology and Drug Safety. (Accepted)
- Nahum-Shani, I., Ertefaie, A., Lu, X., Almirall, D., Lynch, K. G., McKay, J. R., Oslin, D., and Murphy, S. (2017) A SMART Data Analysis Method for Constructing Adaptive Treatment Strategies in Substance Use Disorders. Addiction. (Accepted)
- Ertefaie, A., Asgharian, M., 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., Flory, H. J., Hennessy, S., and Small, D. (2015) Instrumental Variable Methods for Continuous Outcomes that Accommodate Non-ignorable Missing Baseline Values. American Journal of Epidemiology.
- Ertefaie, A., Shortreed, S., Chakraborty, B. (2015) Q-learning Residual Analysis: Application to The Effectiveness of Sequences of Antipsychotic Medications for Patients with Schizophrenia. Statistics in Medicine.
- Ertefaie, A., Small, D., Flory, H. J., Hennessy, S. (2015) Application of a Sensitivity Analysis to Assess Bias in IV Analyses Due to Selecting Subjects Based on Treatment Received. Epidemiology.
- Ertefaie, A., Small, D., Flory, H. J., Hennessy, S. (2015) Selection Bias when using Instrumental Variable Methods to Compare two Treatments but more than two Treatments are Available. International Journal of Biostatistics.
- Ertefaie, A., Asgharian, M., Stephens, A. D. (2014) Propensity Score Estimation in the Presence of Length-biased Sampling: A Non-Parametric Adjustment Approach. Stat., 3, 83-94.
Ertefaie, A., 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.