Faculty profile
Pengfei Li
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Research
Latest papers
Likelihood-Based Non-Parametric Receiver Operating Characteristic Curve Analysis in the Presence of Imperfect Reference Standard.
Statistics in medicine · 2025 · senior author
Instability of inverse probability weighting methods and a remedy for nonignorable missing data.
Biometrics · 2023 · first author
Statistical inference for the two-sample problem under likelihood ratio ordering, with application to the ROC curve estimation.
Statistics in medicine · 2023 · senior author
Latest funding
- $185,000
Novel statistical methods for biased sampling problems
NSERC · 2020 · Principal investigator
- $100,000
Empirical likelihood, smoothed likelihood, and their applications
NSERC · 2015 · Principal investigator
- $95,000
Finite mixture models and their applications
NSERC · 2009 · Principal investigator
11 publications.
Likelihood-Based Non-Parametric Receiver Operating Characteristic Curve Analysis in the Presence of Imperfect Reference Standard.
Sun Y, Sang P, Tian Q, Li P
Instability of inverse probability weighting methods and a remedy for nonignorable missing data.
Li P, Qin J, Liu Y
Statistical inference for the two-sample problem under likelihood ratio ordering, with application to the ROC curve estimation.
Hu D, Yuan M, Yu T, Li P
Semiparametric empirical likelihood inference for abundance from one-inflated capture-recapture data.
Liu Y, Li P, Liu Y, Zhang R
A mixture distribution approach for assessing genetic impact from twin study.
Hu Z, Li P, Follmann D, Qin J
Likelihood ratio test for genetic association study with case-control data under Probit model.
Sheng Z, Liu Y, Li P, Qin J
Maximum likelihood abundance estimation from capture-recapture data when covariates are missing at random.
Liu Y, Liu Y, Li P, Zhu L
A powerful procedure that controls the false discovery rate with directional information.
Tian Z, Liang K, Li P
Retrospective versus prospective score tests for genetic association with case-control data.
Liu Y, Li P, Song L, Yu K, Qin J
Using a monotone single-index model to stabilize the propensity score in missing data problems and causal inference.
Qin J, Yu T, Li P, Liu H, Chen B
Novel statistical methods for biased sampling problems
Principal investigators: Li, Pengfei
Keywords: biased sampling; capture-recapture data; non-ignorable missing data; empirical likelihood; box-cox transformation model; binomial likelihood; shape constraints; semiparametric and nonparametric inference; asymptotic theory
Empirical likelihood, smoothed likelihood, and their applications
Principal investigators: Li, Pengfei
Finite mixture models and their applications
Principal investigators: Li, Pengfei
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
- Peijun Sang and Pengfei Li: 1 shared paper
- Peijun Sang and Qinglong Tian: 1 shared paper
- Pengfei Li and Kun Liang: 1 shared paper
- Pengfei Li and Qinglong Tian: 1 shared paper
- Statistics and Actuarial Science
- Department of Statistics and Actuarial Science
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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