Overview
Andrea G. Rotnitzky is a biostatistician known for foundational work on inference with missing and coarsened data, including semiparametric efficiency and doubly robust estimation (with James Robins and Lue Ping Zhao). She has held positions at Harvard and Universidad Torcuato Di Tella.
Key Contributions / Features
- Bias under missingness in longitudinal data (Fitzmaurice-Laird-Rotnitzky 1993): co-authored the review analysing the asymptotic bias of GEE and likelihood estimators under MCAR/MAR (Generalized Estimating Equations).
- Doubly robust / semiparametric missing-data methods (with Robins and Zhao): inverse-probability weighting and augmented estimators that remain consistent if either the outcome model or the missingness model is correct.
Related