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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

MS, University of Science and Technology of China

Keywords

  • Causal Inference
  • Statistical Consulting
  • statistics
  • Big Data

Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.

  • 2 Similar Profiles
Treatment Effects Mathematics
Semiparametric Estimation Mathematics
Missing at Random Mathematics
Observational Study Mathematics
Instrumental Variables Mathematics
Robust Estimation Mathematics
Latent Variables Mathematics
Estimator Mathematics

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Projects 2017 2021

Research Output 2013 2019

Doubly robust estimation in observational studies with partial interference

Liu, L., Hudgens, M. G., Saul, B., Clemens, J. D., Ali, M. & Emch, M. E., Jan 1 2019, In : Stat. 8, 1, e214.

Research output: Contribution to journalArticle

Observational Study
Robust Estimation
Interference
Estimator
Partial
2 Citations (Scopus)

Semiparametric estimation with data missing not at random using an instrumental variable

Sun, B. L., Liu, L., Miao, W., Wirth, K., Robins, J. & Tchetgen, E. J., Oct 1 2018, In : Statistica Sinica. 28, 4, p. 1965-1983 19 p.

Research output: Contribution to journalArticle

Semiparametric Estimation
Missing at Random
Instrumental Variables
Nonparametric Identification
Missing Data Mechanism

On the Individual Surrogate Paradox

Ma, L., Yin, Y., Liu, L. & Geng, Z., 2017, In : arXiv.

Research output: Contribution to journalArticle

Paradox
Causal effect
Progression
Treatment effects
Substitute

Assessing the Treatment Effect Heterogeneity with a Latent Variable

Yin, Y., Liu, L. & Geng, Z., 2016, In : Statistica Sinica. 28, 1, p. 115-135 21 p.

Research output: Contribution to journalArticle

Latent Variables
Treatment Effects
Average Treatment Effect
Potential Outcomes
Proportion

Novel Criteria to Exclude the Surrogate Paradox and Their Optimalities

Yin, Y., Liu, L., geng, Z. & Luo, P., Jul 19 2016, (Submitted) In : Journal of American Statistical Association.

Research output: Contribution to journalArticle

Optimality
Paradox
Causal effect
Data generating process
Substitute