Researcher Profile
Researcher Profile
Runze Li, PhD
Verne M. Willaman Professor, Statistics
Professor, Department of Public Health Sciences
Director, Center for Statistical Genetics
Professor, Department of Public Health Sciences
Director, Center for Statistical Genetics
Scientific Program:Cancer Control
Research Interests
- Smoking
- Research
- Substance-Related Disorders
- Quantitative Trait Loci
- Smoking Cessation
- Sample Size
- Research Personnel
- Linear Models
- Parkinson Disease
- Tobacco Use Disorder
- Genes
- Gene Expression
Recent Publications
2019
Wang, L, Ma, J, Dholakia, R, Howells, C, Lu, Y, Chen, C, Li, R, Murray, M & Leslie, D 2019, 'Changes in healthcare expenditures after the autism insurance mandate', Research in Autism Spectrum Disorders, vol. 57, pp. 97-104. https://doi.org/10.1016/j.rasd.2018.10.004
Yang, G, Zhang, L, Li, R & Huang, Y 2019, 'Feature screening in ultrahigh-dimensional varying-coefficient Cox model' Journal of Multivariate Analysis, vol. 171, pp. 284-297. https://doi.org/10.1016/j.jmva.2018.12.009
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Zhu, X, Chang, X, Li, R & Wang, H 2019, 'Portal nodes screening for large scale social networks', Journal of Econometrics, vol. 209, no. 2, pp. 145-157. https://doi.org/10.1016/j.jeconom.2018.12.021
Li, M, Ma, Y & Li, R 2019, 'Semiparametric regression for measurement error model with heteroscedastic error', Journal of Multivariate Analysis, vol. 171, pp. 320-338. https://doi.org/10.1016/j.jmva.2018.12.012
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2018
Li, R, Ren, JJ, Yang, G & Yu, Y 2018, 'Asymptotic behavior of Cox's partial likelihood and its application to variable selection' Statistica Sinica, vol. 28, no. 4, pp. 2713-2731. https://doi.org/10.5705/ss.202016.0401
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Buu, A & Li, R 2018, New statistical methods inspired by data collected from alcohol and substance abuse research. in Alcohol Use Disorders: A Developmental Science Approach to Etiology. Oxford University Press, pp. 354-366. https://doi.org/10.1093/oso/9780190676001.003.0021
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2017
Yang, S, Cranford, JA, Jester, JM, Li, R, Zucker, RA & Buu, A 2017, 'A time-varying effect model for examining group differences in trajectories of zero-inflated count outcomes with applications in substance abuse research' Statistics in Medicine, vol. 36, no. 5, pp. 827-837. https://doi.org/10.1002/sim.7177
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Percival, CJ, Kawasaki, K, Huang, Y, Weiss, K, Jabs, EW, Li, R & Richtsmeier, JT 2017, The contribution of angiogenesis to variation in bone development and evolution. in Building Bones: Bone Formation and Development in Anthropology. Cambridge University Press, pp. 26-51. https://doi.org/10.1017/9781316388907.003
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2016
Wang, N, Gosik, K, Li, R, Lindsay, B & Wu, R 2016, 'A block mixture model to map eQTLs for gene clustering and networking', Scientific reports, vol. 6, 21193. https://doi.org/10.1038/srep21193
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Kürüm, E, Hughes, J & Li, R 2016, 'A semivarying joint model for longitudinal binary and continuous outcomes' Canadian Journal of Statistics, vol. 44, no. 1, pp. 44-57. https://doi.org/10.1002/cjs.11273
Li, R 2016, 'Editorial' Annals of Statistics, vol. 44, no. 5, pp. 1817-1820. https://doi.org/10.1214/16-AOS1494
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Liu, H, Du, G, Zhang, L, Lewis, M, Wang, X, Yao, T, Li, R & Huang, X 2016, 'Folded concave penalized learning in identifying multimodal MRI marker for Parkinson's disease', Journal of Neuroscience Methods, vol. 268, pp. 1-6. https://doi.org/10.1016/j.jneumeth.2016.04.016
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2015
Wang, L, Peng, B & Li, R 2015, 'A High-Dimensional Nonparametric Multivariate Test for Mean Vector', Journal of the American Statistical Association, vol. 110, no. 512, pp. 1658-1669. https://doi.org/10.1080/01621459.2014.988215
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Fan, J & Li, R 2015, Local modeling: Density estimation and nonparametric regression. in Advanced Medical Statistics. World Scientific Publishing Co., pp. 1125-1171. https://doi.org/10.1142/9789814583312_0030
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Yang, H, Cranford, JA, Li, R & Buu, A 2015, 'Two-stage model for time-varying effects of discrete longitudinal covariates with applications in analysis of daily process data' Statistics in Medicine, vol. 34, no. 4, pp. 571-581. https://doi.org/10.1002/sim.6368
Yi, GY, Tan, X & Li, R 2015, 'Variable selection and inference procedures for marginal analysis of longitudinal data with missing observations and covariate measurement error', Canadian Journal of Statistics, vol. 43, no. 4, pp. 498-518. https://doi.org/10.1002/cjs.11268
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