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Xinwei Ma
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Xinwei Ma

Research

Journal Articles   |   Conference Proceedings   |   Other Publications   |   Statistical Software Articles   |   Working Papers

Publications

Journal Articles

  1. Covariate Adjusted Response Adaptive Design with Delayed Outcomes. 

Journal of the American Statistical Association, accepted.

With Jingshen Wang and Waverly Wei   |   Supplement   |   arXiv

  1. Enhanced Language Models for Predicting and Understanding HIV Care Disengagement: A Case Study in Tanzania. 

npj Digital Medicine, accepted.

With Waverly Wei, Junzhe Shao, Rita Qiuran Lyu, Rebecca Hemono, Joseph Giorgio, Zeyu Zheng, Feng Ji, Xiaoya Zhang, Emmanuel Katabaro, Matilda Mlowe, Amon Sabasaba, Caroline Lister, Siraji Shabani, Prosper Njau, Sandra I. McCoy, and Jingshen Wang.

  1. Testing Limited Overlap. 

Econometric Theory 41(5): 1129-1162, October 2025.

With Yuya Sasaki and Yulong Wang 

  1. Adaptive Experiments Toward Learning Treatment Effect Heterogeneity. 

Journal of the Royal Statistical Society Series B: Statistical Methodology 87(4): 1055-1084, September 2025.

With Jingshen Wang and Waverly Wei  |   Supplement   |   arXiv

  1. Boundary Adaptive Local Polynomial Conditional Density Estimators. 

Bernoulli 30(4): 3193-3223, November 2024.

With Matias D. Cattaneo, Rajita Chandak, and Michael Jansson   |   Supplement   |   arXiv   |   Software   

  1. Local Regression Distribution Estimators. 

Journal of Econometrics 240(2): 105074, March 2024.

With Matias D. Cattaneo and Michael Jansson   |   Supplement   |   arXiv   |   Replication

  1. Breaking the Winner's Curse in Mendelian Randomization: Rerandomized Inverse Variance Weighted Estimator. 

Annals of Statistics 51(1): 211-232, February 2023.

With Jingshen Wang and Chong Wu   |   Supplement   |   arXiv   |   Replication

  1. Robust Inference Using Inverse Probability Weighting. 

Journal of the American Statistical Association 115(532): 1851-1860, December 2020.

With Jingshen Wang   |   Supplement   |   arXiv   |   Replication

  1. Simple Local Polynomial Density Estimators. 

Journal of the American Statistical Association 115(531): 1449-1455, September 2020.

With Matias D. Cattaneo and Michael Jansson   |   Supplement  |   arXiv   |   Replication

  1. A Random Attention Model. 

Journal of Political Economy 128(7): 2796-2836, July 2020.

With Matias D. Cattaneo, Yusufcan Masatlioglu, and Elchin Suleymanov   |   Supplement   |   arXiv   |   Software   |   Replication

  1. Two-step Estimation and Inference with Possibly Many Included Covariates. 

Review of Economic Studies 86(3): 1095-1122, May 2019.

With Matias D. Cattaneo and Michael Jansson   |   Supplement   |   arXiv

Conference Proceedings

  1. Fair Adaptive Experiments. 

In Proceedings of the 37th International Conference on Neural Information Processing Systems (NeurIPS 2023). Article No.: 840, 19157-19169, December 2023.

With Waverly Wei and Jingshen Wang   |   Supplement   |   arXiv

Other Publications

  1. Context-Dependent Heterogeneous Preferences: A Comment on Barseghyan and Molinari (2023). 

Journal of Business & Economic Statistics 41(4): 1030-1034, November 2023. (Invited comment on "Risk Preference Types, Limited Consideration, and Welfare" by L. Barseghyan and F. Molinari.)

With Matias D. Cattaneo and Yusufcan Masatlioglu   |   arXiv

  1. Causal Inference and Machine Learning in Practice: Use Cases for Product, Brand, Policy and Beyond. 

In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023). 5867, August 2023. (Introduction to the workshop.)

With Jeong-Yoon Lee, Yifeng Wu, Keith Battocchi, Fabio Vera, Zhenyu Zhao, Totte Harinen, Jing Pan, Huigang Chen, Zeyu Zheng, Chu Wang, and Yingfei Wang.

Statistical Software Articles 

  1. lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators. 

Journal of Open Source Software 10(107): 7241, March 2025.

With Matias D. Cattaneo, Rajita Chandak, and Michael Jansson   |   arXiv   |   Software   

  1. lpdensity: Local Polynomial Density Estimation and Inference. 

Journal of Statistical Software 101(2): 1-25, January 2022.

With Matias D. Cattaneo and Michael Jansson   |   arXiv   |   Software   |   Replication 

  1. Manipulation Testing based on Density Discontinuity. 

Stata Journal 18(1): 234-261, March 2018. 

With Matias D. Cattaneo and Michael Jansson   |   R version   |   Software   |   Replication  


Working Papers

  1. Can Language Models Boost the Power of Randomized Experiments Without Statistical Bias? 

With Xinrui Ruan, Yingfei Wang, Waverly Wei, and Jingshen Wang   |   Supplement   |   arXiv

  1. Principal Component Analysis for a Mix of Stationary and Nonstationary Variables. 

With James D. Hamilton and Jin Xi   |   Replication 

  1. Mediation Analysis with Mendelian Randomization and Efficient Multiple GWAS Integration. 

With Qiuran Lyu, Jingshen Wang, and Chong Wu   |   Supplement   |   arXiv

  1. On the Theoretical Investigation of Mediation Analysis in Mendelian Randomization with Summary Data. 

With Qiuran Lyu and Jingshen Wang   |   Supplement   |   arXiv

  1. Attention Overload. 

With Matias D. Cattaneo, Paul Cheung, and Yusufcan Masatlioglu   |   Supplement   |   arXiv   |   Software   |   Replication

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