Arkaprava Roy, Zhou Lan, “Double Soft-Thresholded Model for Multi-Group Scalar on Vector-Valued Image Regression”,
Bayesian Analysis, Advance Publication (2025).
Zhou Lan, Sheryl Foster, Molly Charney, Max van Grinsven, Katherine Breedlove, Kasia Kozlowska, Alexander Lin,
“Neurometabolic Network (NMetNet) for Functional Neurological Disorder in Children and Adolescents”,
NeuroImage: Clinical 46 (2025).
Zhou Lan, Yize Zhao, Jian Kang, Tianwei Yu, “Bayesian network feature finder (BANFF): an R package for gene
network feature selection”, Bioinformatics 32(23) (2016).
DOI: 10.1093/bioinformatics/btw522.
Nonparametric Modeling
Zhou Lan, Yuqian Chen, Jarrett Rushmore, Leo Zekelman, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Fan
Zhang, and Lauren J. O’Donnell, “Fiber Microstructure Quantile (FMQ) Regression: A Novel Statistical Approach
for Analyzing White Matter Bundles from Periphery to Core”, Imaging Neuroscience 3, imag a 00569 (2025).
Arkaprava Roy, Zhou Lan, Zhengwu Zhang, “Nonparametric Modeling of Diffusion MRI Signal in Q-Space”,
Data Science in Science 6(4) (2024).
Lei Yan, Xin Zhang, Zhou Lan, Dipankar Bandyopadhyay, and Yichao Wu, “Variable Screening and Spatial Smoothing
in Frechet Regression with Application to Diffusion Tensor Imaging”, Ann. Appl. Stat. 19(1) (2025).
DOI: 10.1214/24-AOAS1978.
Zhou Lan, Le Bao, “Multivariate Spatial Modeling for Predicting Missing HIV Prevalence Rates Among Key Populations”,
Journal of the Royal Statistical Society Series A (Statistics in Society) 187(2) (2024).
DOI: 10.1093/jrsssa/qnad113.
Zhou Lan, “Correlated Wishart Matrices Classification via an Expectation-Maximization Composite Likelihood-Based
Algorithm”, Statistics and Its Interface 17(2) (2024).
DOI: 10.4310/22-SII770.
Chukka Srinivas, Zhou Lan, “System and Method for Color Deconvolution of a Slide Image to Assist in the Analysis
of Tissue”, US20200167965A1 (Priority Date: 2017/08/04; Publication Date: 2020/05/28).
Zhou Lan, Brian J Reich, Joseph Guinness, Dipankar Bandyopadhyay, Liangsuo Ma, and F Gerard Moeller,
“Geostatistical Modeling of Positive Definite Matrices and Its Applications to Diffusion Tensor Imaging”,
Biometrics 78(2) (2022).
(Winner of 2017 JSM Statistical Significance Poster Competition and 2019 ICSA Applied Statistics Symposium Student Paper Competition)
DOI: 10.1111/biom.13445.
Clinical Trials, Causal Inference and Health Informatics
Zhou Lan, Alexander Turchin, “Impact of Possible Errors in NLP-Derived Data on Downstream Epidemiologic Analysis”,
JAMIA Open 6(4) (2023).
Gregory Piazza, Behnood Bikdeli, Arvind K. Pandey, Darsiya Krishnathasan, Candrika D. Khairani, Antoine Bejjani,
Ruth H. Morrison, Heather Hogan, Sina Rashedi, Mariana Pfeferman, Junyang Lou, John Fanikos, Nicole Porio, Lisa
Rosenbaum, Piotr Sobieszczyk, Zhou Lan, Marie Gerhard-Herman, Umberto Campia, Samuel Z. Goldhaber,
for the HI-PRO Trial Investigators, “Apixaban for Extended Treatment of Provoked Venous Thromboembolism (HI-PRO
Trial)”, New England Journal of Medicine 393 (2025).
DOI: 10.1056/NEJMoa2509426.
C. Justin Brown, Lee-Shing Chang, Naoshi Hosomura, Shervin Malmasi, Fritha Morrison, Maria Shubina,
Zhou Lan, Alexander Turchin, “Assessment of Sex Disparities in Nonacceptance of Statin Therapy and
Low-Density Lipoprotein Cholesterol Levels Among Patients at High Cardiovascular Risk”, JAMA Network Open.
