Publications

You can also find my articles on my Google Scholar profile.

Journal Articles


Dynamic impairment classification through arrayed comparisons

Published in Statistics in medicine, 2023

We conducted real-time classifications of cognitive impairment based on historical Multicenter AIDS Cohort Study (MACS) data, controlling family wise error rate

Recommended citation: Wang, Z., Wang, Z., Lyu, L., Cheng, Y., Seaberg, E. C., Molsberry, S. A., Ragin, A., Becker, J. T. (2023). Dynamic impairment classification through arrayed comparisons. Statistics in medicine, 42(1), 52-67.
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A note on the likelihood ratio test in high-dimensional exploratory factor analysis

Published in Psychometrika, 2021

Co-first author (Wang, Z. and He, Y. contributed equally). In this paper, we derived conditions for the Chi-square approximation in high-dimensional factor analysis to hold and refined the factor selection procedure to improve its accuracy.

Recommended citation: He, Y. Wang, Z., Xu, G. (2021). A note on the likelihood ratio test in high-dimensional exploratory factor analysis. Psychometrika, 86(2), 442-463.
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Preprints


Interim analysis in sequential multiple assignment randomized trials for survival outcomes

Preprint: arXiv, 2025
arXiv: arXiv:2504.03143

We proposed interim analysis procedures for complex SMART trials to reduce sample sizes while controlling type I error and maintaining statistical power.

Recommended citation: Wang, Z., Cheng, Y., Wahed, A.S. (2025+). Interim Analysis in Sequential Multiple Assignment Randomized Trials for Survival Outcomes”. arXiv preprint arXiv:2504.03143.
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In Submission


Generalized Win-Odds Regression Models on Composite Endpoints

We proposed proportional Win Odds regression models to evaluate the treatment effect on multiple outcomes while controlling for other risk factors.

Recommended citation: Wang, B., Wang, Z., Cheng, Y. (2025+). Generalized Win-Odds Regression Models on Composite Endpoints”. Submitted.

“Nonparametric Estimation of Subgroup Mediation Effects with Semi-Competing Risks Data

We proposed nonparametric estimators of causal mediation effects, which reduce computing time compared to EM algorithm.

Recommended citation: Wang, Z., Cheng, Y. (2025+). Nonparametric Estimation of Subgroup Mediation Effects with Semi-Competing Risks Data”. To be submitted.