Department of Mathematics and Statistics
University of Saskatchewan
106 Wiggins Road, MCLN 219
S7N 5E6 CANADA
Phone: +1 (306) 966-6095
Email: email@example.com; other emails
A Short CV
Statistical Machine Learning
Model Diagnostics and Comparison
See my zotero profile page (self maintained with PDF files), google scholar page, researchgate page, or my publication page.
Highlights and News
Bai, W., Dong, M., Li, L., Feng, C., Xu, W., 2021. Randomized quantile residuals for diagnosing zero-inflated generalized linear mixed models with applications to microbiome count data. BMC Bioinformatics 22, 564; Slides for this paper.
- Li, L., Wu, T., Feng, C. Model Diagnostics for Censored Regression via Randomized Survival Probabilities. Statistics in Medicine, 2021. arxiv reprint (accepted version) ; R functions for computing NRSP residuals for survreg and coxph objects with animated demonstration; Slides.
Feng C, Li L, Sadeghpour A.
A comparison of residual diagnosis tools for diagnosing regression models
for count data. BMC Medical Research Methodology. 2020 Jul 1;20(1):175.
Dong M, Li L, Chen M, Kusalik A, Xu W. Predictive
analysis methods for
human microbiome data with application to Parkinson's disease. PLOS
2020 Aug 24;15(8):e0237779.
- Jiang L, Greenwood CMT, Yao W, Li L.
Bayesian Hyper-LASSO Classification for Feature
Selection with Application to Endometrial Cancer RNA-seq Data. Scientific Reports. 2020 Jun
Bayesian Logistic Regression with Heavy-Tailed Priors,
HTLR was listed in
the top 40 new packages in October 2019 by R views of Rstudio.