Projects per year
Personal profile
Research interests
Causal Inference, Big Data, Missing Data, Bayesian Inference, Statistical Consulting
Teaching
Stat 5021 2016 Spring
Stat 4051 2016 Fall
Stat 4052 2017 Spring
Education/Academic qualification
PhD, University of North Carolina
Award Date: Aug 1 2013
MS, Mathematics, University of Science and Technology of China
Award Date: Jun 2 2010
Research interests
- Causal Inference
- Statistical Consulting
- statistics
- Big Data
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Statistical Methods for Enhanced Mapping of Microbiome Relationships
FRED HUTCHINSON CANCER CENTER, NATIONAL INSTITUTES OF HEALTH (NIH)
9/15/23 → 7/31/24
Project: Research project
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Liu: Statistical Methods for Large Microbiome Studies of Cardiovascular Disease Risk Factors
FRED HUTCHINSON CANCER CENTER, NATIONAL INSTITUTES OF HEALTH (NIH)
3/15/21 → 3/31/24
Project: Research project
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Liu: Characterizing CKD patients using multi-domain biomarkers
UNIVERSITY OF PENNSYLVANIA, NIH NATL INST OF DIABETES/DIG/KIDNEY DIS
5/1/20 → 6/30/22
Project: Research project
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Efficient Inferences in Task-evoked fMRI Studies
Liu, L., Cook, R. D., Eberly, L. & Yacoub, E.
THE NATIONAL SCIENCE FOUNDATION
9/1/19 → 8/31/23
Project: Research project
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Efficient Inferences in Task-Evoked Functional Magnetic Resonance Imaging Studies
9/1/19 → 8/31/23
Project: Research project
Research output
- 25 Article
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Envelopes for multivariate linear regression with linearly constrained coefficients
Cook, R. D., Forzani, L. & Liu, L., 2023, (Accepted/In press) In: Scandinavian Journal of Statistics.Research output: Contribution to journal › Article › peer-review
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Partial least squares for simultaneous reduction of response and predictor vectors in regression
Cook, R. D., Forzani, L. & Liu, L., Jul 2023, In: Journal of Multivariate Analysis. 196, 105163.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Semiparametrically Efficient Method for Enveloped Central Space
Ma, L., Wang, J., Chen, H. & Liu, L., 2023, (Accepted/In press) In: Journal of the American Statistical Association.Research output: Contribution to journal › Article › peer-review
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Efficient estimation via envelope chain in magnetic resonance imaging-based studies
Liu, L., Li, W., Su, Z., Cook, D., Vizioli, L. & Yacoub, E., Jun 2022, In: Scandinavian Journal of Statistics. 49, 2, p. 481-501 21 p.Research output: Contribution to journal › Article › peer-review
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Normobaric Hyperoxia Combined with Endovascular Treatment for Patients with Acute Ischemic Stroke: A Randomized Controlled Clinical Trial
Li, W., Qi, Z., Ma, Q., Ding, J., Wu, C., Song, H., Yang, Q., Duan, J., Liu, L., Kang, H., Wu, L., Ji, K., Zhao, W., Li, C., Sun, C., Li, N., Fisher, M., Ji, X. & Liu, K. J., Aug 23 2022, In: Neurology. 99, 8, p. E824-E834Research output: Contribution to journal › Article › peer-review
21 Scopus citations