Jared Huling | Selected Publications

Google Scholar

Preprints

Heterogeneous readmission prediction with hierarchical effect decomposition and regularization Jiang, Ziren, Huo, Lingfeng, Vaughan-Sarrazin, Mary, Smith, Maureen A., and Huling, Jared D. Preprint (2026) [cite] [arXiv:2603.19569] [code]
```
@unpublished{jiang26heterogeneous,
  author    = {Jiang, Ziren and Huo, Lingfeng and Vaughan-Sarrazin, Mary and Smith, Maureen A. and Huling, Jared D.},
  title     = {Heterogeneous readmission prediction with hierarchical effect decomposition and regularization},
  year      = {2026},
  note      = {Preprint},
  arxiv     = {2603.19569}
}
```
Jiang, Ziren, Lingfeng Huo, Mary Vaughan-Sarrazin, Maureen A. Smith and Jared D. Huling. "Heterogeneous readmission prediction with hierarchical effect decomposition and regularization." 2026. Preprint, arXiv:2603.19569.
Improving RCT-Based CATE Estimation Under Covariate Mismatch via Double Calibration Pal, Samhita, Huling, Jared D., and Asiaee, Amir Preprint (2026) [cite] [arXiv:2603.17066]
```
@unpublished{pal26improving,
  author    = {Pal, Samhita and Huling, Jared D. and Asiaee, Amir},
  title     = {Improving RCT-Based CATE Estimation Under Covariate Mismatch via Double Calibration},
  year      = {2026},
  note      = {Preprint},
  arxiv     = {2603.17066}
}
```
Pal, Samhita, Jared D. Huling and Amir Asiaee. "Improving RCT-Based CATE Estimation Under Covariate Mismatch via Double Calibration." 2026. Preprint, arXiv:2603.17066.
Estimation of heterogeneous principal effects under principal ignorability Zhang, Rui, Doss, Charles, and Huling, Jared D. Preprint (2026) [cite] [arXiv:2603.08963]
```
@unpublished{zhang26estimation,
  author    = {Zhang, Rui and Doss, Charles and Huling, Jared D.},
  title     = {Estimation of heterogeneous principal effects under principal ignorability},
  year      = {2026},
  note      = {Preprint},
  arxiv     = {2603.08963}
}
```
Zhang, Rui, Charles Doss and Jared D. Huling. "Estimation of heterogeneous principal effects under principal ignorability." 2026. Preprint, arXiv:2603.08963.
Estimating causal effects of functional treatments with modified functional treatment policies Jiang, Ziren, Cui, Erjia, and Huling, Jared D. Preprint (2026) [cite] [arXiv:2602.09145]
```
@unpublished{jiang26functional,
  author    = {Jiang, Ziren and Cui, Erjia and Huling, Jared D.},
  title     = {Estimating causal effects of functional treatments with modified functional treatment policies},
  year      = {2026},
  note      = {Preprint},
  arxiv     = {2602.09145}
}
```
Jiang, Ziren, Erjia Cui and Jared D. Huling. "Estimating causal effects of functional treatments with modified functional treatment policies." 2026. Preprint, arXiv:2602.09145.
Partially Retargeted Balancing Weights for Causal Effect Estimation Under Positivity Violations Barnard, Martha, Huling, Jared D., and Wolfson, Julian Preprint (2025)
★ Distinguished Student Paper Award, ENAR 2026
[cite] [arXiv:2510.22072]
```
@unpublished{barnard25retargeted,
  author    = {Barnard, Martha and Huling, Jared D. and Wolfson, Julian},
  title     = {Partially Retargeted Balancing Weights for Causal Effect Estimation Under Positivity Violations},
  year      = {2025},
  note      = {Preprint},
  arxiv     = {2510.22072}
}
```
Barnard, Martha, Jared D. Huling and Julian Wolfson. "Partially Retargeted Balancing Weights for Causal Effect Estimation Under Positivity Violations." 2025. Preprint, arXiv:2510.22072.
Data adaptive covariate balancing for causal effect estimation for high dimensional data De, Simion, and Huling, Jared D. Preprint (2025) [cite] [arXiv:2512.18069] [code]
```
@unpublished{de25data,
  author    = {De, Simion and Huling, Jared D.},
  title     = {Data adaptive covariate balancing for causal effect estimation for high dimensional data},
  year      = {2025},
  note      = {Preprint},
  arxiv     = {2512.18069}
}
```
De, Simion and Jared D. Huling. "Data adaptive covariate balancing for causal effect estimation for high dimensional data." 2025. Preprint, arXiv:2512.18069.
Exploring the effects of mechanical ventilator settings with modified vector-valued treatment policies Jiang, Ziren, Crooke, Philip S., Marini, John J., and Huling, Jared D. Preprint (2025) [cite] [arXiv:2507.09809]
```
@unpublished{jiang25ventilator,
  author    = {Jiang, Ziren and Crooke, Philip S. and Marini, John J. and Huling, Jared D.},
  title     = {Exploring the effects of mechanical ventilator settings with modified vector-valued treatment policies},
  year      = {2025},
  note      = {Preprint},
  arxiv     = {2507.09809}
}
```
Jiang, Ziren, Philip S. Crooke, John J. Marini and Jared D. Huling. "Exploring the effects of mechanical ventilator settings with modified vector-valued treatment policies." 2025. Preprint, arXiv:2507.09809.
Heterogeneity-Aware Regression with Nonparametric Estimation and Structured Selection for Hospital Readmission Prediction Wang, Wei, Bailey, Angela, Tignanelli, Christopher, and Huling, Jared D. Preprint (2025) [cite] [arXiv:2507.06388]
```
@unpublished{wang25heterogeneity,
  author    = {Wang, Wei and Bailey, Angela and Tignanelli, Christopher and Huling, Jared D.},
  title     = {Heterogeneity-Aware Regression with Nonparametric Estimation and Structured Selection for Hospital Readmission Prediction},
  year      = {2025},
  note      = {Preprint},
  arxiv     = {2507.06388}
}
```
Wang, Wei, Angela Bailey, Christopher Tignanelli and Jared D. Huling. "Heterogeneity-Aware Regression with Nonparametric Estimation and Structured Selection for Hospital Readmission Prediction." 2025. Preprint, arXiv:2507.06388.
Transportability of Principal Causal Effects Clark, Justin M., Rott, Kollin W., Hodges, James S., and Huling, Jared D. Preprint (2024) [cite] [arXiv:2405.04419]
```
@unpublished{clark24transportability,
  author    = {Clark, Justin M. and Rott, Kollin W. and Hodges, James S. and Huling, Jared D.},
  title     = {Transportability of Principal Causal Effects},
  year      = {2024},
  note      = {Preprint},
  arxiv     = {2405.04419}
}
```
Clark, Justin M., Kollin W. Rott, James S. Hodges and Jared D. Huling. "Transportability of Principal Causal Effects." 2024. Preprint, arXiv:2405.04419.
Causally-Interpretable Random-Effects Meta-Analysis Clark, Justin M., Rott, Kollin W., Hodges, James S., and Huling, Jared D. Preprint (2023) [cite] [arXiv:2302.03544]
```
@unpublished{clark23metaanalysis,
  author    = {Clark, Justin M. and Rott, Kollin W. and Hodges, James S. and Huling, Jared D.},
  title     = {Causally-Interpretable Random-Effects Meta-Analysis},
  year      = {2023},
  note      = {Preprint},
  arxiv     = {2302.03544}
}
```
Clark, Justin M., Kollin W. Rott, James S. Hodges and Jared D. Huling. "Causally-Interpretable Random-Effects Meta-Analysis." 2023. Preprint, arXiv:2302.03544.
Improving Precision of RCT-Based CATE Estimation using Data Borrowing with Double Calibration Asiaee, Amir, Di Gravio, Chiara, Beck, Cole, Mei, Yuting, Pal, Samhita, and Huling, Jared D. Preprint (2023) [cite] [arXiv:2306.17478]
```
@unpublished{asiaee23improving,
  author    = {Asiaee, Amir and Di Gravio, Chiara and Beck, Cole and Mei, Yuting and Pal, Samhita and Huling, Jared D.},
  title     = {Improving Precision of RCT-Based CATE Estimation using Data Borrowing with Double Calibration},
  year      = {2023},
  note      = {Preprint},
  arxiv     = {2306.17478}
}
```
Asiaee, Amir, Chiara Di Gravio, Cole Beck, Yuting Mei, Samhita Pal and Jared D. Huling. "Improving Precision of RCT-Based CATE Estimation using Data Borrowing with Double Calibration." 2023. Preprint, arXiv:2306.17478.
Selection and estimation optimality in high dimensions with the TWIN penalty Dai, Xiaowu, and Huling, Jared D. Preprint (2021) [cite] [arXiv:1806.01936]
```
@unpublished{dai21twin,
  author    = {Dai, Xiaowu and Huling, Jared D.},
  title     = {Selection and estimation optimality in high dimensions with the TWIN penalty},
  year      = {2021},
  note      = {Preprint},
  arxiv     = {1806.01936}
}
```
Dai, Xiaowu and Jared D. Huling. "Selection and estimation optimality in high dimensions with the TWIN penalty." 2021. Preprint, arXiv:1806.01936.

Publications

2026

Doss and Huling’s contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al. Doss, Charles R., and Huling, Jared D. Journal of the Royal Statistical Society Series B: Statistical Methodology (2026) [cite] [doi]
```
@article{doss26discussion,
  author    = {Doss, Charles R. and Huling, Jared D.},
  title     = {Doss and Huling’s contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al.},
  journal   = {Journal of the Royal Statistical Society Series B: Statistical Methodology},
  year      = {2026},
  doi       = {10.1093/jrsssb/qkag024},
}
```
Doss, Charles R. and Jared D. Huling. "Doss and Huling’s contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al.." Journal of the Royal Statistical Society Series B: Statistical Methodology, 2026. doi:10.1093/jrsssb/qkag024.
A Framework for Causal Estimand Selection Under Positivity Violations Barnard, Martha, Huling, Jared D., and Wolfson, Julian Biometrics (2026) [cite] [arXiv:2410.12093] [doi]
```
@article{barnard26estimand,
  author    = {Barnard, Martha and Huling, Jared D. and Wolfson, Julian},
  title     = {A Framework for Causal Estimand Selection Under Positivity Violations},
  journal   = {Biometrics},
  year      = {2026},
  doi       = {10.1093/biomtc/ujag014},
  arxiv     = {2410.12093}
}
```
Barnard, Martha, Jared D. Huling and Julian Wolfson. "A Framework for Causal Estimand Selection Under Positivity Violations." Biometrics, 2026. doi:10.1093/biomtc/ujag014.

2025

Counterfactual fairness for small subgroups Wastvedt, Solvejg, Huling, Jared D., and Wolfson, Julian Biostatistics (2025) [cite] [arXiv:2310.19988] [doi] [code]
```
@article{wastvedt25fairness,
  author    = {Wastvedt, Solvejg and Huling, Jared D. and Wolfson, Julian},
  title     = {Counterfactual fairness for small subgroups},
  journal   = {Biostatistics},
  year      = {2025},
  doi       = {10.1093/biostatistics/kxaf046},
  arxiv     = {2310.19988}
}
```
Wastvedt, Solvejg, Jared D. Huling and Julian Wolfson. "Counterfactual fairness for small subgroups." Biostatistics, 2025. doi:10.1093/biostatistics/kxaf046.
Modified treatment policy effect estimation with weighted energy distance Jiang, Ziren, and Huling, Jared D. The Annals of Applied Statistics, 19(4):2555–2577 (2025)
★ Distinguished Student Paper Award, ENAR 2024
[cite] [arXiv:2310.11620] [doi]
```
@article{jiang25modified,
  author    = {Jiang, Ziren and Huling, Jared D.},
  title     = {Modified treatment policy effect estimation with weighted energy distance},
  journal   = {The Annals of Applied Statistics},
  year      = {2025},
  volume    = {19},
  number    = {4},
  pages     = {2555–2577},
  doi       = {10.1214/24-AOAS1991},
  arxiv     = {2310.11620}
}
```
Jiang, Ziren and Jared D. Huling. "Modified treatment policy effect estimation with weighted energy distance." The Annals of Applied Statistics, vol. 19, no. 4, 2025, pp. 2555–2577. doi:10.1214/24-AOAS1991.
Causally interpretable meta-analysis combining aggregate and individual participant data Rott, Kollin W., Clark, Justin M., Murad, M. Hassan, Hodges, James S., and Huling, Jared D. American Journal of Epidemiology, 194(7):2060–2068 (2025)
★ Distinguished Student Paper Award, ENAR 2024
[cite] [doi]
```
@article{rott25causal,
  author    = {Rott, Kollin W. and Clark, Justin M. and Murad, M. Hassan and Hodges, James S. and Huling, Jared D.},
  title     = {Causally interpretable meta-analysis combining aggregate and individual participant data},
  journal   = {American Journal of Epidemiology},
  year      = {2025},
  volume    = {194},
  number    = {7},
  pages     = {2060–2068},
  doi       = {10.1093/aje/kwae371},
}
```
Rott, Kollin W., Justin M. Clark, M. Hassan Murad, James S. Hodges and Jared D. Huling. "Causally interpretable meta-analysis combining aggregate and individual participant data." American Journal of Epidemiology, vol. 194, no. 7, 2025, pp. 2060–2068. doi:10.1093/aje/kwae371.

2024

An effective framework for estimating individualized treatment rules with multi-category treatments Lee, Joowon, Huling, Jared D., and Chen, Guanhua Advances in Neural Information Processing Systems (NeurIPS) (2024) [cite] [doi]
```
@article{lee24framework,
  author    = {Lee, Joowon and Huling, Jared D. and Chen, Guanhua},
  title     = {An effective framework for estimating individualized treatment rules with multi-category treatments},
  journal   = {Advances in Neural Information Processing Systems (NeurIPS)},
  year      = {2024},
  doi       = {10.52202/079017-0270},
}
```
Lee, Joowon, Jared D. Huling and Guanhua Chen. "An effective framework for estimating individualized treatment rules with multi-category treatments." Advances in Neural Information Processing Systems (NeurIPS), 2024. doi:10.52202/079017-0270.
Independence weights for causal inference with continuous treatments Huling, Jared D., Greifer, Noah, and Chen, Guanhua Journal of the American Statistical Association, 119(546):1657–1670 (2024) [cite] [arXiv:2107.07086] [doi] [code] [CRAN]
```
@article{huling24independence,
  author    = {Huling, Jared D. and Greifer, Noah and Chen, Guanhua},
  title     = {Independence weights for causal inference with continuous treatments},
  journal   = {Journal of the American Statistical Association},
  year      = {2024},
  volume    = {119},
  number    = {546},
  pages     = {1657–1670},
  doi       = {10.1080/01621459.2023.2213485},
  arxiv     = {2107.07086}
}
```
Huling, Jared D., Noah Greifer and Guanhua Chen. "Independence weights for causal inference with continuous treatments." Journal of the American Statistical Association, vol. 119, no. 546, 2024, pp. 1657–1670. doi:10.1080/01621459.2023.2213485.
Energy balancing of covariate distributions Huling, Jared D., and Mak, Simon Journal of Causal Inference (2024) [cite] [arXiv:2004.13962] [doi] [code]
```
@article{huling24energy,
  author    = {Huling, Jared D. and Mak, Simon},
  title     = {Energy balancing of covariate distributions},
  journal   = {Journal of Causal Inference},
  year      = {2024},
  doi       = {10.1515/jci-2022-0029},
  arxiv     = {2004.13962}
}
```
Huling, Jared D. and Simon Mak. "Energy balancing of covariate distributions." Journal of Causal Inference, 2024. doi:10.1515/jci-2022-0029.
An intersectional framework for counterfactual fairness in risk prediction Wastvedt, Solvejg, Huling, Jared D., and Wolfson, Julian Biostatistics, 25(3):702–717 (2024) [cite] [arXiv:2210.01194] [doi] [code]
```
@article{wastvedt24intersectional,
  author    = {Wastvedt, Solvejg and Huling, Jared D. and Wolfson, Julian},
  title     = {An intersectional framework for counterfactual fairness in risk prediction},
  journal   = {Biostatistics},
  year      = {2024},
  volume    = {25},
  number    = {3},
  pages     = {702–717},
  doi       = {10.1093/biostatistics/kxad021},
  arxiv     = {2210.01194}
}
```
Wastvedt, Solvejg, Jared D. Huling and Julian Wolfson. "An intersectional framework for counterfactual fairness in risk prediction." Biostatistics, vol. 25, no. 3, 2024, pp. 702–717. doi:10.1093/biostatistics/kxad021.
Robust sample weighting to facilitate individualized treatment rule learning for a target population Chen, Rui, Huling, Jared D., Chen, Guanhua, and Yu, Menggang Biometrika, 111(1):309–329 (2024) [cite] [arXiv:2105.00581] [doi]
```
@article{chen23robust,
  author    = {Chen, Rui and Huling, Jared D. and Chen, Guanhua and Yu, Menggang},
  title     = {Robust sample weighting to facilitate individualized treatment rule learning for a target population},
  journal   = {Biometrika},
  year      = {2024},
  volume    = {111},
  number    = {1},
  pages     = {309–329},
  doi       = {10.1093/biomet/asad038},
  arxiv     = {2105.00581}
}
```
Chen, Rui, Jared D. Huling, Guanhua Chen and Menggang Yu. "Robust sample weighting to facilitate individualized treatment rule learning for a target population." Biometrika, vol. 111, no. 1, 2024, pp. 309–329. doi:10.1093/biomet/asad038.

2023

A reluctant additive model framework for interpretable nonlinear individualized treatment rules Maronge, Jacob M., Huling, Jared D., and Chen, Guanhua The Annals of Applied Statistics, 17(4):3384–3402 (2023) [cite] [doi]
```
@article{maronge23reluctant,
  author    = {Maronge, Jacob M. and Huling, Jared D. and Chen, Guanhua},
  title     = {A reluctant additive model framework for interpretable nonlinear individualized treatment rules},
  journal   = {The Annals of Applied Statistics},
  year      = {2023},
  volume    = {17},
  number    = {4},
  pages     = {3384–3402},
  doi       = {10.1214/23-AOAS1767},
}
```
Maronge, Jacob M., Jared D. Huling and Guanhua Chen. "A reluctant additive model framework for interpretable nonlinear individualized treatment rules." The Annals of Applied Statistics, vol. 17, no. 4, 2023, pp. 3384–3402. doi:10.1214/23-AOAS1767.
Doubly structured sparsity for grouped multivariate responses with application to functional outcome score modeling Huling, Jared D., Lundine, Jennifer P., and Leonard, Julie C. Statistics in Medicine, 42(15):2619–2636 (2023) [cite] [arXiv:2302.11098] [doi] [code]
```
@article{huling23doubly,
  author    = {Huling, Jared D. and Lundine, Jennifer P. and Leonard, Julie C.},
  title     = {Doubly structured sparsity for grouped multivariate responses with application to functional outcome score modeling},
  journal   = {Statistics in Medicine},
  year      = {2023},
  volume    = {42},
  number    = {15},
  pages     = {2619–2636},
  doi       = {10.1002/sim.9740},
  arxiv     = {2302.11098}
}
```
Huling, Jared D., Jennifer P. Lundine and Julie C. Leonard. "Doubly structured sparsity for grouped multivariate responses with application to functional outcome score modeling." Statistics in Medicine, vol. 42, no. 15, 2023, pp. 2619–2636. doi:10.1002/sim.9740.

2022

Sufficient dimension reduction for populations with structured heterogeneity Huling, Jared D., and Yu, Menggang Biometrics, 78(4):1626–1638 (2022) [cite] [arXiv:2212.12394] [doi] [code] [CRAN]
```
@article{huling22dimension,
  author    = {Huling, Jared D. and Yu, Menggang},
  title     = {Sufficient dimension reduction for populations with structured heterogeneity},
  journal   = {Biometrics},
  year      = {2022},
  volume    = {78},
  number    = {4},
  pages     = {1626–1638},
  doi       = {10.1111/biom.13546},
  arxiv     = {2212.12394}
}
```
Huling, Jared D. and Menggang Yu. "Sufficient dimension reduction for populations with structured heterogeneity." Biometrics, vol. 78, no. 4, 2022, pp. 1626–1638. doi:10.1111/biom.13546.
Meta-analysis of individualized treatment rules via sign-coherency Cheng, Justin J., Huling, Jared D., and Chen, Guanhua Machine Learning for Health (ML4H), PMLR, 193:171–198 (2022) [cite] [link] [code]
```
@article{cheng22meta,
  author    = {Cheng, Justin J. and Huling, Jared D. and Chen, Guanhua},
  title     = {Meta-analysis of individualized treatment rules via sign-coherency},
  journal   = {Machine Learning for Health (ML4H), PMLR},
  year      = {2022},
  volume    = {193},
  pages     = {171–198},
}
```
Cheng, Justin J., Jared D. Huling and Guanhua Chen. "Meta-analysis of individualized treatment rules via sign-coherency." Machine Learning for Health (ML4H), PMLR, vol. 193, 2022, pp. 171–198.
Fast penalized regression and cross validation for tall data with the {oem} package Huling, Jared D., and Chien, Peter Journal of Statistical Software, 104(6):1–24 (2022) [cite] [arXiv:1801.09661] [doi] [code] [CRAN]
```
@article{huling22oem,
  author    = {Huling, Jared D. and Chien, Peter},
  title     = {Fast penalized regression and cross validation for tall data with the {oem} package},
  journal   = {Journal of Statistical Software},
  year      = {2022},
  volume    = {104},
  number    = {6},
  pages     = {1–24},
  doi       = {10.18637/jss.v104.i06},
  arxiv     = {1801.09661}
}
```
Huling, Jared D. and Peter Chien. "Fast penalized regression and cross validation for tall data with the {oem} package." Journal of Statistical Software, vol. 104, no. 6, 2022, pp. 1–24. doi:10.18637/jss.v104.i06.

2021

Subgroup identification using the {personalized} package Huling, Jared D., and Yu, Menggang Journal of Statistical Software, 98(5):1–60 (2021) [cite] [doi] [code] [CRAN]
```
@article{huling21personalized,
  author    = {Huling, Jared D. and Yu, Menggang},
  title     = {Subgroup identification using the {personalized} package},
  journal   = {Journal of Statistical Software},
  year      = {2021},
  volume    = {98},
  number    = {5},
  pages     = {1–60},
  doi       = {10.18637/jss.v098.i05},
}
```
Huling, Jared D. and Menggang Yu. "Subgroup identification using the {personalized} package." Journal of Statistical Software, vol. 98, no. 5, 2021, pp. 1–60. doi:10.18637/jss.v098.i05.
Diagnosis-group-specific transitional care program recommendations for thirty-day rehospitalization reduction Yu, Menggang, Kuang, Chensheng, Huling, Jared D., and Smith, Maureen A. The Annals of Applied Statistics, 15(3):1478–1498 (2021) [cite] [doi] [code]
```
@article{yu21diagnosis,
  author    = {Yu, Menggang and Kuang, Chensheng and Huling, Jared D. and Smith, Maureen A.},
  title     = {Diagnosis-group-specific transitional care program recommendations for thirty-day rehospitalization reduction},
  journal   = {The Annals of Applied Statistics},
  year      = {2021},
  volume    = {15},
  number    = {3},
  pages     = {1478–1498},
  doi       = {10.1214/21-AOAS1473},
}
```
Yu, Menggang, Chensheng Kuang, Jared D. Huling and Maureen A. Smith. "Diagnosis-group-specific transitional care program recommendations for thirty-day rehospitalization reduction." The Annals of Applied Statistics, vol. 15, no. 3, 2021, pp. 1478–1498. doi:10.1214/21-AOAS1473.
A two-part framework for estimating individualized treatment rules from semi-continuous outcomes Huling, Jared D., Smith, Maureen A., and Chen, Guanhua Journal of the American Statistical Association, 116(533):210–223 (2021) [cite] [doi] [code] [CRAN]
```
@article{huling21twopart,
  author    = {Huling, Jared D. and Smith, Maureen A. and Chen, Guanhua},
  title     = {A two-part framework for estimating individualized treatment rules from semi-continuous outcomes},
  journal   = {Journal of the American Statistical Association},
  year      = {2021},
  volume    = {116},
  number    = {533},
  pages     = {210–223},
  doi       = {10.1080/01621459.2020.1801449},
}
```
Huling, Jared D., Maureen A. Smith and Guanhua Chen. "A two-part framework for estimating individualized treatment rules from semi-continuous outcomes." Journal of the American Statistical Association, vol. 116, no. 533, 2021, pp. 210–223. doi:10.1080/01621459.2020.1801449.

2019

Instrumental variable based estimation under the semiparametric accelerated failure time model Huling, Jared D., Yu, Menggang, and O’Malley, A. James Biometrics, 75(2):516–527 (2019) [cite] [doi] [code]
```
@article{huling19instrumental,
  author    = {Huling, Jared D. and Yu, Menggang and O’Malley, A. James},
  title     = {Instrumental variable based estimation under the semiparametric accelerated failure time model},
  journal   = {Biometrics},
  year      = {2019},
  volume    = {75},
  number    = {2},
  pages     = {516–527},
  doi       = {10.1111/biom.12985},
}
```
Huling, Jared D., Menggang Yu and A. James O’Malley. "Instrumental variable based estimation under the semiparametric accelerated failure time model." Biometrics, vol. 75, no. 2, 2019, pp. 516–527. doi:10.1111/biom.12985.
Fused comparative intervention scoring for heterogeneity of longitudinal intervention effects Huling, Jared D., Yu, Menggang, and Smith, Maureen A. The Annals of Applied Statistics, 13(2):824–847 (2019) [cite] [doi] [code]
```
@article{huling19fused,
  author    = {Huling, Jared D. and Yu, Menggang and Smith, Maureen A.},
  title     = {Fused comparative intervention scoring for heterogeneity of longitudinal intervention effects},
  journal   = {The Annals of Applied Statistics},
  year      = {2019},
  volume    = {13},
  number    = {2},
  pages     = {824–847},
  doi       = {10.1214/18-AOAS1216},
}
```
Huling, Jared D., Menggang Yu and Maureen A. Smith. "Fused comparative intervention scoring for heterogeneity of longitudinal intervention effects." The Annals of Applied Statistics, vol. 13, no. 2, 2019, pp. 824–847. doi:10.1214/18-AOAS1216.

2018

Risk prediction for heterogeneous populations with application to hospital admission prediction Huling, Jared D., Yu, Menggang, Liang, Muxuan, and Smith, Maureen A. Biometrics, 74(2):557–565 (2018) [cite] [doi] [code] [CRAN]
```
@article{huling18risk,
  author    = {Huling, Jared D. and Yu, Menggang and Liang, Muxuan and Smith, Maureen A.},
  title     = {Risk prediction for heterogeneous populations with application to hospital admission prediction},
  journal   = {Biometrics},
  year      = {2018},
  volume    = {74},
  number    = {2},
  pages     = {557–565},
  doi       = {10.1111/biom.12769},
}
```
Huling, Jared D., Menggang Yu, Muxuan Liang and Maureen A. Smith. "Risk prediction for heterogeneous populations with application to hospital admission prediction." Biometrics, vol. 74, no. 2, 2018, pp. 557–565. doi:10.1111/biom.12769.

2017

Accelerating large-scale statistical computation with the GOEM algorithm Nie, Xiao, Huling, Jared D., and Qian, Peter Z. G. Technometrics, 59(4):416–425 (2017) [cite] [doi]
```
@article{nie17goem,
  author    = {Nie, Xiao and Huling, Jared D. and Qian, Peter Z. G.},
  title     = {Accelerating large-scale statistical computation with the GOEM algorithm},
  journal   = {Technometrics},
  year      = {2017},
  volume    = {59},
  number    = {4},
  pages     = {416–425},
  doi       = {10.1080/00401706.2016.1256840},
}
```
Nie, Xiao, Jared D. Huling and Peter Z. G. Qian. "Accelerating large-scale statistical computation with the GOEM algorithm." Technometrics, vol. 59, no. 4, 2017, pp. 416–425. doi:10.1080/00401706.2016.1256840.

2016

Orthogonalizing EM: A design-based least squares algorithm Xiong, Shifeng, Dai, Bin, Huling, Jared D., and Qian, Peter Z. G. Technometrics, 58(3):285–293 (2016) [cite] [doi] [code] [CRAN]
```
@article{xiong16orthogonalizing,
  author    = {Xiong, Shifeng and Dai, Bin and Huling, Jared D. and Qian, Peter Z. G.},
  title     = {Orthogonalizing EM: A design-based least squares algorithm},
  journal   = {Technometrics},
  year      = {2016},
  volume    = {58},
  number    = {3},
  pages     = {285–293},
  doi       = {10.1080/00401706.2015.1054436},
}
```
Xiong, Shifeng, Bin Dai, Jared D. Huling and Peter Z. G. Qian. "Orthogonalizing EM: A design-based least squares algorithm." Technometrics, vol. 58, no. 3, 2016, pp. 285–293. doi:10.1080/00401706.2015.1054436.