Haben Michael
Lederle Graduate Research Tower 1336
University of Massachusetts
Amherst, MA 01003-9305
(413) 577-9781
hmichael at math dot umass

Welcome! My office hours for Fall 2023 are Tues,Thurs 2:15-4 or by appointment.

Recent Research

  1. H. Michael et al. Inference on the difference of estimated index AUCs under the null. Submitted, 2023. Code.

  2. H. Michael, Angelina Chen, Lu Tian. Exact Inference on a Linear Combination of Multinomial Probabilities. Submitted, 2023. Code.

  3. Alexis Doyle-Connolly and H. Michael. Nonparametric estimation of the AUC of an index with estimated parameters. Submitted, 2023. Code. Slides.

  4. H. Michael and Lu Tian. The population and personalized AUCs. Under review, 2023. Code. Slides.

  5. H. Michael. The effect of screening for publication bias on the outcomes of meta-analyses. Under review, 2023. Code.

  6. H. Michael, Yifan Cui, Eric Tchetgen Tchetgen and Scott Lorch. Identification and Estimation of Marginal Structural Models for Time-varying Endogenous Treatments: A Time-Varying Instrumental Variable Approach. JASA, Theory & Methods, 2023. Code. Slides.

  7. H. Michael and Musie Ghebremichael. A correction to Begg's test for publication bias. To appear in Communications in Statistics: Theory in Methods, 2023. Code.

  8. Yifan Cui, H. Michael, and Eric Tchetgen Tchetgen. Instrumental variable estimation of marginal structural Cox model for time-varying treatments. Biometrika, 2021.

  9. Musie Ghebremichael and H. Michael. Comparison of the binormal and Lehman receiver operating characteristic curves. Communications in Statistics, Simulation and Computation, 2021.

  10. Joseph Makhema et al. Impact of a universal HIV test and treat strategy on population HIV incidence in a community-randomized trial. New England Journal of Medicine, 381(3):230–242, 2019.

  11. H. Michael, Suzanne Thornton, Minge Xie, and L. Tian. Exact inference on random-effects models for meta-analyses with few studies. Biometrics, 2018. Slides.

  12. Eric Tchetgen Tchetgen, H. Michael, and Yifan Cui. Marginal Structural Models for Time-varying Endogenous Treatments: A Time-Varying Instrumental Variable Approach. Technical report, Department of Statistics, The Wharton School, September 2018. arXiv:1809.05422.

  13. H. Michael, L. Tian, and M. Ghebremichael. The ROC curve for regularly measured longitudinal biomarkers. Biostatistics, page kxy010, 2018. Slides.

  14. H. Michael and L. Tian. Discussion of "A Risk-Based Measure of Time-Varying Prognostic Discrimination for Survival Models." Biometrics, 73(3), 2017.

Some programming repositories