PubliCations 

For a full list of publications and a list of talks given by me, please see my cv:   CV_cai.pdf

If you're interested in collaborating, please send me an email at xc2@williams.edu

Statistical Methodology: 

1. Cai, X., Wang, Q., and Zhu, Y. (2023)  ``Mediation Analysis with Latent Factors Using Simultaneous Group-wise and Parameter-wise Penalization''  Stat 12.1: e630. doi: https://doi.org/10.1002/sta4.630

2. Wang, J., Cai, X., Niu, X., and Li, R. (2023) Variable selection for high-dimensional nodal attributes in social networks with degree heterogeneity. Journal of the American Statistical Association, 1-14 .doi: https://doi.org/10.1080/01621459.2023.2187815k.

3.  Cai, X., Coffman, D.L., Piper, M.E., and Li, R. (2022) Estimation and inference for the mediation effect in a time-varying mediation model. BMC Medical Research Methodology, 22, 113. doi: https://doi.org/10.1186/s12874-022-01585-x

4. Cai, X., Zhu, Y., Huang, Y., and Ghosh, D. (2022) High-dimensional causal mediation analysis based on partial linear structural equation models. Computational Statistics and Data Analysis, 107501. doi: https://doi.org/10.1016/j.csda.2022.107501

5. Wang, J., Cai, X., and Li, R. (2021) Variable selection for partially linear models via Bayesian subset modeling with diffusing prior. Journal of Multivariate Analysis, 104733. doi: https://doi.org/10.1016/j.jmva.2021.104733

6. Wang, Q., and Cai, X. (2021) An efficient variance estimator for cross-validation under partition sampling. Statistics, 55:3, 660-681. doi: https://doi.org/10.1080/02331888.2021.1943393

7. Coffman, D.L., Zhou, J. and Cai, X. (2020) Comparison of methods for handling covariate missingness in propensity score estimation with a binary exposure. BMC Medical Research Methodology, 20(1): 1-14. doi: https://doi.org/10.1186/s12874-020-01053-4

8. Coffman, D.L., Zhou, J., Cai, X. and Graham, J. (2018) Addressing missing data in confounders when estimating propensity scores for continuous exposures. Health Services and Outcomes Research Methodology, 18(4): 265-286. doi: https://doi.org/10.1007/s10742-018-0191-6

9. Luo, W. and Cai, X. (2016) A new estimator for efficient dimension reduction in regression. Journal of Multivariate Analysis, 145: 236-249. doi: https://doi.org/10.1016/j.jmva.2015.12.014

Collaborative Research on Applications:

1. Coffman, D.L., Cai, X., Li, R. and Leonard, N.R. (2020) Challenges and opportunities in collecting and modeling ambulatory electrodermal activity data. JMIR Biomedical Engineering, 5(1): e17106. doi: https://doi.org/10.2196/17106

2. Fromm, D., Greenhouse, J., Hou, K., Russell, G.A., Cai, X., Forbes, M. and MacWhinney, B. (2016) Automated proposition density analysis for discourse in aphasia. Journal of Speech, Language, and Hearing Research, 59(5): 1123-1132.  doi: https://doi.org/10.1044/2016_JSLHR-L-15-0401

3. Kaufer, D., Ishizaki, S., and Cai, X. (2016) Analyzing the language of citation across discipline and experience levels: an automated dictionary approach. Journal of Writing Research, 7(3): 453-483.  doi: https://doi.org/10.17239/jowr-2016.07.03.07

Book:  

1. Parry-Giles, S., Kaufer, D., and Cai, X. (2023) Hillary Clinton’s career in speeches: the promise and peril of women’s rhetorical adaptivity. Michigan State University Press (official released and will be available for purchase in September 2023) 

Book project website: https://sites.google.com/view/hillary-clinton-speeches/

Statistics Education and Pedagogy:

1. Wang, Q., and Cai, X. (2023). Active-learning class activities and shiny applications for teaching support vector classifier.  Journal of Statistics and Data Science Education. (accepted). doi: https://doi.org/10.1080/26939169.2023.2231065.

2. Wang, Q. and Cai, X. (2023) Online repository for facilitating teaching and learning of undergraduate statistical modeling tools. Proceedings of the international conference on higher education advances (HEAd), 631-638. http://dx.doi.org/10.4995/HEAD23.2023.16871.

3. Cai, X., and Wang, Q. (2020) Educational tool and active-learning class activity for teaching agglomerative hierarchical clustering.  Journal of Statistics Education, 28(3), 280-288.  doi: https://doi.org/10.1080/10691898.2020.1799727

R Package:

tvmediation (available on CRAN) estimation and inference for the time-varying mediation model