Select Publications

• Jiajing Zheng, Alexander D'Amour and Alexander Franks. Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding [link].
• Zachary Terner and Alexander Franks. Modeling Player and Team Performance in Basketball Annual Review of Statistics and Its Application (2020) [link].
• Alexander Franks, Alexander D'Amour and Avi Feller. Flexible sensitivity analysis for observational studies without observable implications Journal of the American Statistical Association (2019) [link].
• Alexander Franks and Peter Hoff. Shared Subspace Models for Multi-Group Covariance Estimation Journal of Machine Learning Research (2019) [link].
• Alexander Franks, Andrew Miller, Luke Bornn, and Kirk Goldsberry. Characterizing the spatial structure of defensive skill in professional basketball. Annals of Applied Statistics [link].
• Alexander Franks , Gabor Csardi, D. Allan Drummond, and Edoardo M. Airoldi. Estimating a structured covariance model from multilab mesaurements in high-throughput biology. Journal of the American Statistical Association, 110(509):27--44, 2015 [link]
• Alexander Franks , Edoardo M. Airoldi, and Donald B. Rubin. Conditionally specified models for non-ignorable missing data. Proceedings of the National Academy of Sciences (2020)[link]
• Alexander Franks, Florian Markowetz, and Edoardo Airoldi. Estimating cellular pathways from an ensemble of heterogeneous data sources. Annals of Applied Statistics. [link]
• Gabor Csardi, Alexander Franks, David Choie, Edoardo Airoldi, and DA Drummond (2015) Accounting for Experimental Noise Reveals That mRNA Levels, Amplified by Post-Transcriptional Processes, Largely Determine Steady-State Protein Levels in Yeast. PLoS Genet 11(5): e1005206. [link]