A national experiment reveals where a growth mindset improves achievement DS Yeager, P Hanselman, GM Walton, JS Murray, R Crosnoe, C Muller, ... Nature 573 (7774), 364-369, 2019 | 1459 | 2019 |
Bayesian regression tree models for causal inference: Regularization, confounding, and heterogeneous effects (with discussion) PR Hahn, JS Murray, CM Carvalho Bayesian Analysis 15 (3), 965-1056, 2020 | 511 | 2020 |
Multiple Imputation: A Review of Practical and Theoretical Findings JS Murray Statistical Science 33 (2), 142-159, 2018 | 223 | 2018 |
Teacher Mindsets Help Explain Where a Growth-Mindset Intervention Does and Doesn’t Work DS Yeager, JM Carroll, J Buontempo, A Cimpian, S Woody, R Crosnoe, ... Psychological science, 09567976211028984, 2021 | 220 | 2021 |
Bayesian Gaussian copula factor models for mixed data JS Murray, DB Dunson, L Carin, JE Lucas Journal of the American Statistical Association 108 (502), 656-665, 2013 | 177 | 2013 |
Bayesian additive regression trees: A review and look forward J Hill, A Linero, J Murray Annual Review of Statistics and Its Application 7, 251-278, 2020 | 173 | 2020 |
Multiple imputation of missing categorical and continuous values via Bayesian mixture models with local dependence JS Murray, JP Reiter Journal of the American Statistical Association 111 (516), 1466-1479, 2016 | 119 | 2016 |
Log-linear Bayesian additive regression trees for multinomial Logistic and count regression models JS Murray Journal of the American Statistical Association, 1-35, 2020 | 109* | 2020 |
A synergistic mindsets intervention protects adolescents from stress DS Yeager, CJ Bryan, JJ Gross, JS Murray, D Krettek Cobb, P HF Santos, ... Nature, 1-9, 2022 | 96 | 2022 |
Bart with targeted smoothing: An analysis of patient-specific stillbirth risk JE Starling, JS Murray, CM Carvalho, RK Bukowski, JG Scott Annals of Applied Statistics 14 (1), 28-50, 2020 | 69* | 2020 |
Assessing treatment effect variation in observational studies: Results from a data challenge C Carvalho, A Feller, J Murray, S Woody, D Yeager Observational Studies 5 (2), 21-35, 2019 | 56 | 2019 |
Model interpretation through lower-dimensional posterior summarization S Woody, CM Carvalho, JS Murray Journal of Computational and Graphical Statistics, 1-9, 2020 | 55 | 2020 |
Atlantic Causal Inference Conference (ACIC) Data Analysis Challenge 2017 PR Hahn, V Dorie, JS Murray arXiv preprint arXiv:1905.09515, 2019 | 54 | 2019 |
Probabilistic Record Linkage and Deduplication after Indexing, Blocking, and Filtering JS Murray Journal of Privacy and Confidentiality 7 (1), 2016 | 51 | 2016 |
Scaling Bayesian Probabilistic Record Linkage with Post-Hoc Blocking: An Application to the California Great Registers BS McVeigh, BT Spahn, JS Murray arXiv preprint arXiv:1905.05337, 2019 | 34* | 2019 |
Why Meta-Analyses of Growth Mindset and Other Interventions Should Follow Best Practices for Examining Heterogeneity E Tipton, J Murray, B Schneider, DS Yeager | 31* | 2022 |
Targeted Smooth Bayesian Causal Forests: An analysis of heterogeneous treatment effects for simultaneous vs. interval medical abortion regimens over gestation JE Starling, JS Murray, PA Lohr, ARA Aiken, CM Carvalho, JG Scott The Annals of Applied Statistics 15 (3), 1194-1219, 2021 | 27 | 2021 |
A Bayesian partial identification approach to inferring the prevalence of accounting misconduct PR Hahn, JS Murray, I Manolopoulou Journal of the American Statistical Association 111 (513), 14-26, 2016 | 26 | 2016 |
Adaptive conditional distribution estimation with bayesian decision tree ensembles Y Li, AR Linero, J Murray Journal of the American Statistical Association, 1-32, 2022 | 25 | 2022 |
Bayesian learning of joint distributions of objects A Banerjee, J Murray, D Dunson Artificial Intelligence and Statistics, 1-9, 2013 | 18 | 2013 |