Faculty profile
Longhai Li
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Research
Latest papers
Z-residual diagnostic tool for assessing covariate functional form in shared frailty models.
Journal of applied statistics · 2025
Advancements in predicting and modeling rare event outcomes for enhanced decision-making.
BMC medical research methodology · 2023
Randomized quantile residuals for diagnosing zero-inflated generalized linear mixed models with applications to microbiome count data.
BMC bioinformatics · 2021
Latest funding
- $120,000
Predictive Methods for Analyzing High-throughput Data and Spatial-Temporal Data
NSERC · 2019 · Principal investigator
- $70,000
Bayesian Methods for High-dimensional and Correlated Data
NSERC · 2014 · Principal investigator
- $95,000
Efficient Bayesian analysis for complex models
NSERC · 2009 · Principal investigator
11 publications.
Z-residual diagnostic tool for assessing covariate functional form in shared frailty models.
Wu T, Li L, Feng C
Advancements in predicting and modeling rare event outcomes for enhanced decision-making.
Feng C, Li L, Xu C
Randomized quantile residuals for diagnosing zero-inflated generalized linear mixed models with applications to microbiome count data.
Bai W, Dong M, Li L, Feng C, Xu W
Model diagnostics for censored regression via randomized survival probabilities.
Li L, Wu T, Feng C
Predictive analysis methods for human microbiome data with application to Parkinson's disease.
Dong M, Li L, Chen M, Kusalik A, Xu W
A comparison of residual diagnosis tools for diagnosing regression models for count data.
Feng C, Li L, Sadeghpour A
Bayesian Hyper-LASSO Classification for Feature Selection with Application to Endometrial Cancer RNA-seq Data.
Jiang L, Greenwood CMT, Yao W, Li L
Antimicrobial resistance genetic factor identification from whole-genome sequence data using deep feature selection.
Shi J, Yan Y, Links MG, Li L, Dillon JR, Horsch M, Kusalik A
Sleep duration and sleep disturbances in association with falls among the middle-aged and older adults in China: a population-based nationwide study.
Essien SK, Feng CX, Sun W, Farag M, Li L, Gao Y
Computational identification of harmful mutation regions to the activity of transposable elements.
Jin L, McQuillan I, Li L
Predictive Methods for Analyzing High-throughput Data and Spatial-Temporal Data
Principal investigators: Li, Longhai
Keywords: genome wide association studies (gwas); microbiome studies; feature selection; predictive analysis; lasso; false discovery rate; generalized linear mixed model; zero inflation and over-dispersion; model comparison; model checking
Bayesian Methods for High-dimensional and Correlated Data
Principal investigators: Li, Longhai
Efficient Bayesian analysis for complex models
Principal investigators: Li, Longhai
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
- Cindy Feng and Longhai Li: 4 shared papers
- Wei Xu and Longhai Li: 2 shared papers
- Anthony Kusalik and Longhai Li: 2 shared papers
- Lingling Jin and Ian McQuillan: 2 shared papers
- Wei Xu and Anthony Kusalik: 1 shared paper
- Wei Xu and Cindy Feng: 1 shared paper
- Lingling Jin and Longhai Li: 1 shared paper
- Longhai Li and Ian McQuillan: 1 shared paper
- Computer Science
- Mathematics and Statistics
- Community Health and Epidemiology
- Biostatistics Division
Co-authors at University of Saskatchewan, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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