Faculty profile
Yeying Zhu
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Waterloo directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Simultaneous Maximum Likelihood Estimation for Piecewise Linear Instrumental Variable Models.
Entropy (Basel, Switzerland) · 2022 · senior author
Using conventional and machine learning propensity score methods to examine the effectiveness of 12-step group involvement following inpatient addiction treatment
Drug and Alcohol Dependence · 2021
Variable selection for causal mediation analysis using LASSO-based methods.
Statistical methods in medical research · 2021
Latest funding
- $168,000
Causal Inference in High-Dimensional Settings
NSERC · 2017 · Principal investigator
- $51,145
Understanding the Causal Mechanism of Reputation Using Big Data in e-Commerce
SSHRC · 2016 · Principal investigator
9 publications.
Simultaneous Maximum Likelihood Estimation for Piecewise Linear Instrumental Variable Models.
Liu SS, Zhu Y
Using conventional and machine learning propensity score methods to examine the effectiveness of 12-step group involvement following inpatient addiction treatment
Costello MJ, Li Y, Zhu Y, Walji A, Sousa S, Remers S, Chorny Y, Rush B, MacKillop J
Variable selection for causal mediation analysis using LASSO-based methods.
Ye Z, Zhu Y, Coffman DL
Multiply robust estimation of causal quantile treatment effects.
Xie Y, Cotton C, Zhu Y
A model averaging approach for estimating propensity scores by optimizing balance.
Xie Y, Zhu Y, Cotton CA, Wu P
A Kernel-Based Metric for Balance Assessment.
Zhu Y, Savage JS, Ghosh D
Estimating controlled direct effects of restrictivefeeding practices in the 'Early dieting in girls' study.
Zhu Y, Ghosh D, Coffman DL, Savage JS
A Boosting Algorithm for Estimating Generalized Propensity Scores with Continuous Treatments.
Zhu Y, Coffman DL, Ghosh D
Variable selection for propensity score estimation via balancing covariates.
Zhu Y, Schonbach M, Coffman DL, Williams JS
Causal Inference in High-Dimensional Settings
Principal investigators: Zhu, Yeying
Keywords: causal inference; covariate balance; high-dimensional data; machine learning; matching; mendelian randomization; reproducing kernel hilbert space; observational studies; sufficient dimension reduction; data-adaptive
Understanding the Causal Mechanism of Reputation Using Big Data in e-Commerce
Principal investigators: Zhu, Yeying
Keywords: (1) Big data; (2) Boosting; (3) Causal inference; (4) e-Commerce; (5) Machine learning; (6) Mediation analysis; (7) Reputation
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- James MacKillop and Brian Rush: 13 shared papers
- James MacKillop and Shannon Remers: 11 shared papers
- Shannon Remers and Brian Rush: 6 shared papers
- James MacKillop and Yeying Zhu: 1 shared paper
- Shannon Remers and Yeying Zhu: 1 shared paper
- Brian Rush and Yeying Zhu: 1 shared paper
- Yeying Zhu and Cecilia Cotton: 1 shared paper
- Statistics and Actuarial Science
- Psychiatry & Behavioural Neurosciences
- Epidemiology Division
Co-authors at University of Waterloo, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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