A nondegenerate penalized likelihood estimator for variance parameters in multilevel models Y Chung, S Rabe-Hesketh, V Dorie, A Gelman, J Liu Psychometrika 78, 685-709, 2013 | 459 | 2013 |
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition V Dorie, J Hill, U Shalit, M Scott, D Cervone | 325 | 2019 |
System And Methods For Clustering Large Database of Documents VJ Dorie, ER Giannella US Patent App. 12/181,150, 2009 | 168 | 2009 |
Weakly informative prior for point estimation of covariance matrices in hierarchical models Y Chung, A Gelman, S Rabe-Hesketh, J Liu, V Dorie Journal of Educational and Behavioral Statistics 40 (2), 136-157, 2015 | 134 | 2015 |
A flexible, interpretable framework for assessing sensitivity to unmeasured confounding V Dorie, M Harada, NB Carnegie, J Hill Statistics in medicine 35 (20), 3453-3470, 2016 | 108 | 2016 |
Atlantic causal inference conference (acic) data analysis challenge 2017 PR Hahn, V Dorie, JS Murray arXiv preprint arXiv:1905.09515, 2019 | 50 | 2019 |
blme: Bayesian linear mixed-effects models V Dorie R package version, 2015 | 44 | 2015 |
dbarts: discrete Bayesian additive regression trees sampler V Dorie, H Chipman, R McCulloch, A Dadgar R package version 0.9-19 3, 30-43, 2020 | 40 | 2020 |
Package ‘arm’ A Gelman, YS Su, M Yajima, J Hill, MG Pittau, J Kerman, T Zheng, V Dorie, ... Data analysis using regression and multilevel/hierarchical models, 2015 | 38 | 2015 |
blme: Bayesian Linear Mixed-Effects Models. R package version 1.0-4 V Dorie | 19 | 2015 |
Examining treatment effect heterogeneity using BART N Carnegie, V Dorie, JL Hill Observational Studies 5 (2), 52-70, 2019 | 17 | 2019 |
Meta-analysis of expression and methylation signatures indicates a stress-related epigenetic mechanism in multiple neuropsychiatric disorders K Zhu, TH Ou Yang, V Dorie, T Zheng, D Anastassiou Translational psychiatry 9 (1), 32, 2019 | 16 | 2019 |
A non-degenerate estimator for hierarchical variance parameters via penalized likelihood estimation Y Chung, S Rabe-Hesketh, V Dorie, A Gelman, J Liu Psychometrika 78 (4), 685-709, 2013 | 16 | 2013 |
NPCI: Non-parametrics for causal inference, 2016 V Dorie URL https://github. com/vdorie/npci, 2016 | 12 | 2016 |
Non-parametrics for causal inference V Dorie | 12 | 2016 |
arm: Data analysis using regression and multilevel/hierarchical models. R package A Gelman, YS Su, M Yajima, J Hill, MG Pittau, J Kerman, T Zheng, V Dorie Version, 2015 | 9 | 2015 |
Mixed methods for mixed models: Bayesian point estimation and classical uncertainty measures in multilevel models V Dorie PhD thesis, Columbia University, 2013 | 6 | 2013 |
Avoiding boundary estimates in linear mixed models through weakly informative priors. UC Berkeley Division of Biostatistics Working Paper Series Y Chung, S Rabe-Hesketh, A Gelman, J Liu, V Dorie Working Paper 284. Available: http://biostats. bepress. com/ucbbiostat/paper284, 2012 | 6 | 2012 |
Stan and BART for causal inference: Estimating heterogeneous treatment effects using the power of Stan and the flexibility of machine learning V Dorie, G Perrett, JL Hill, B Goodrich Entropy 24 (12), 1782, 2022 | 5 | 2022 |
Package ‘bartcause’ V Dorie, J Hill, MV Dorie URL: https://cran. r-project. org/web/packages/bartCause/bartCause. pdf, 2020 | 5 | 2020 |