Real World Evidence
Robust Causal Inference
Inferring about Treatment Effect with EHR via Drugable Genome
Linking EHR with RCT
Individualized Treatment Effects with Observational Data
Research Team
John Rock Professor of Population and Translational Data Sciences, Harvard T.H. Chan School of Public Health
Professor of Biomedical Informatics, Harvard Medical School
Assistant Professor of Biostatistics, Harvard T.H. School of Public Health
Professor of Epidemiology and Biostatistics, Harvard T.H. Chan School of Public Health
Selected Publications
L Liu, R Mukherjee, JM Robins. “On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning”. arXiv 2020.
S Greenland, MP Fay, EH Brittain, JH Shih, DA Follmann, EE Gabriel, JM Robins. “On Causal Inferences for Personalized Medicine: How Hidden Causal Assumptions Led to Erroneous Causal Claims About the D-Value”. The American Statistician 2019;1–13.
D Cheng, A Chakrabortty, AN Ananthakrishnan, T Cai. “Estimating average treatment effects with a double-index propensity score”. Biometrics 2019.
D Cheng, AN Ananthakrishnan, T Cai. “Robust and efficient semi-supervised estimation of average treatment effects with application to electronic health records data”. Biometrics 2020.
T Cai, T Cai, Z Guo. “Individualized Treatment Selection: An Optimal Hypothesis Testing Approach In High-dimensional Models”. arXiv 2019.
T Cai, Y Zhang, Y Ho, N Link, J Sun, J Huang, TA Cai, S Damrauer, Y Ahuja, J Honerlaw, J Huang, L Costa, P Schubert, C Hong, D Gagnon, YV Sun, JM Gaziano, P Wilson, K Cho, P Tsao, CJ O’Donnell, KP and. “Association of Interleukin 6 Receptor Variant With Cardiovascular Disease Effects of Interleukin 6 Receptor Blocking Therapy”. JAMA Cardiology 2018;3(9):849.
Y Xia, T Cai, TT Cai. “Two-Sample Tests for High-Dimensional Linear Regression with an Application to Detecting Interactions”. Statistica Sinica 2018;63–92.