Haben Michael

Welcome!

Recent Research

  1. H. Michael, Yifan Cui, and Eric Tchetgen Tchetgen. Identification and Estimation of Marginal Structural Models for Time-varying Endogenous Treatments: A Time-Varying Instrumental Variable Approach. Under revision at JASA T&M. Slides.

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

  3. 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.

  4. Joseph Makhema et al. Impact of a universal HIV test and treat strategy on population HIV incidence in a community-randomized trial. To appear in the New England Journal of Medicine, 2019.

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

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

Talks

  1. Instrumental Variable Estimation of a Cox Marginal Structural Model with Endogenous Time-Varying Exposure. Recent advances in causal inference for survival analysis, ENAR, Philadelphia, PA, 2019.

  2. Estimating Marginal Strucural Mean Models with Instrumental Variables (poster session). Recent Advances in Causal Inference and Mediation Analysis and their Applications, Statistics Annual Winter Workshop, Gainesville, FL, 2019.

  3. (With I. Olkin.) Weighted K-Means Clustering with Dynamic Programming Solution. Talk given at the Meta-Research Innovation Center at Stanford Forum, April 2016, Stanford University. Slides and notes.

Teaching

Reading group slides

Some programming repositories