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
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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 Interest Keywords
- Causal Inference
- Statistical Consulting
- statistics
- Big Data
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- 1 Similar Profiles
Network
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Efficient Inferences in Task-evoked fMRI Studies
Liu, L., Cook, R. D., Eberly, L. & Yacoub, E.
9/1/19 → 8/31/23
Project: Research project
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Liu: Statistical Methods for Large Microbiome Studies of Cardiovascular Disease Risk Factors
3/15/21 → 3/31/23
Project: Research project
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Liu: Characterizing CKD patients using multi-domain biomarkers
5/1/20 → 6/30/22
Project: Research project
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Health, Neighborhood Context, and Mobility (NIH R01HD090014)
Osypuk, T. L., Liu, L., Nelson, T. F. & Schmidt, N. M.
NIH NAT'L INST OF CHILD HEALTH/HUMAN DEV
9/19/17 → 5/31/23
Project: Research project
Research output
- 21 Article
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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
13 Scopus citations -
Regression-based negative control of homophily in dyadic peer effect analysis
Liu, L. & Tchetgen Tchetgen, E., Jun 2022, In: Biometrics. 78, 2, p. 668-678 11 p.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., Apr 14 2021, In: Scandinavian Journal of Statistics. 49, 2, p. 481-501 21 p.Research output: Contribution to journal › Article › peer-review
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Envelope method with ignorable missing data
Ma, L., Liu, L. & Yang, W., 2021, In: Electronic Journal of Statistics. 15, 2, p. 4420-4461 42 p.Research output: Contribution to journal › Article › peer-review
Open Access -
On the individual surrogate paradox
Ma, L., Yin, Y., Liu, L. & Geng, Z., Jan 1 2021, In: Biostatistics. 22, 1, p. 97-113 17 p.Research output: Contribution to journal › Article › peer-review