 Prof. Longhai Li
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Professor
Department of Mathematics and Statistics |
Research Interest
Statistical machine learning, survival analysis, model checking, residual diagnostics
My Publications in Public Archives
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Selected Papers and R Packages
- Z-residual: Computing Z-residual for survival models and generalized linear models. (under development) A demonstration for checking covariate functional forms, Github page.
- HTLR: Fitting Bayesian Logistic Regression with Heavy-tailed (Hyper-Lasso) Priors, [CRAN page], [Github page].
- NRSP: Computing NRSP residuals (Z-residuals) for survreg and coxph objects, the page for downloading
- Wu, T., Feng, C., Li, L. (2024). Cross-validatory Z-Residual for Diagnosing Shared Frailty Models. The American Statistician 0, 1–17. [PDF]; [Free Reprints]; [slides]; [Z-residual on Github]; [Demo]
- Wu, T., Li, L., Feng, C. (2024). Z-residual diagnostic tool for assessing covariate functional form in shared frailty models. Journal of Applied Statistics 0, 1–31. [PDF]; [Z-residual on Github]; [Demo] [slides]
- Li, L., Wu, T., Feng, C. (2021). Model diagnostics for censored regression via randomized survival probabilities. Statistics in Medicine 40, 1482–1497. [PDF]; [R Functions and Demonstration]; [slides];
- Feng, C., Li, L., Sadeghpour, A. (2020). A comparison of residual diagnosis tools for diagnosing regression models for count data. BMC Medical Research Methodology. 20(1):175.
- Dong, M., Li, L., Chen, M., Kusalik, A., Xu, W. (2020). Predictive analysis methods for human microbiome data with application to Parkinson's disease. PLOS ONE 15(8):e0237779.
- Jiang, L., Greenwood, CMT, Yao, W., Li, L. (2020). Bayesian Hyper-LASSO Classification for Feature Selection with Application to Endometrial Cancer RNA-seq Data. Scientific Reports 10(1):9747.
- Li, L., Qiu, S., Zhang, B., and Feng, C.X. (2016). Approximating Cross-validatory Predictive Evaluation in Bayesian Latent Variables Models with Integrated IS and WAIC, Statistics and Computing, 26(4), 881-897. [PDF]; [slides].
- Yao, W. and Li, L. (2014). A New Regression Model: Modal Linear Regression. Scandinavian Journal of Statistics, 41(3), 656-671. [PDF].
- Li, L. (2012). Bias-corrected Hierarchical Bayesian Classification with a Selected Subset of High-dimensional Features. Journal of American Statistical Association, 107:497, 120-134. [PDF]; [software]; [slides].