Hongzhe Li (Lee), Ph.D.

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Professor of Biostatistics in Biostatistics and Epidemiology
Department: Biostatistics and Epidemiology

Contact information
Department of Biostatistics and Epidemiology
University of Pennsylvania Perelman School of Medicine
215 Blockley Hall
423 Guardian Drive
Philadelphia, PA 19104-6021
Office: 215-573-5038
Fax: 215-573 1050
B.S. (Mathematics/Information)
Peking University, 1989.
Ph.D. (Statistics)
University of Washington, 1995.
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Description of Research Expertise

My methods reserach was mostly motivated by problems in genetics and genoimics. I have worked on a variety problems in statistical genetics and genomics, including methods for family-based genetic linkage and association analysis, methods for admixture mapping, methods for genome-wide association analysis, methods for analysis of microarray time course gene expression data, high dimensional regression analysis for genomic data, methods for copy number variation analysis and methods for analysis of next generation sequence data. I have published both statistical methodological research in top statistics/biostatistics journals (JASA, AOS, AOAS, Biometrika, Biometrics, Biostatistics etc ) and in top genetics journals (AJHG, Plos Genetics, etc) and collaborative research in top scientific journals (Science, NEJM, Nature, Nature Genetics, PNAS, Developmental Cell etc).

Selected Publications

Guo Z, Wang W, Cai T, Li H: Optimal estimation of genetic relatedness in high-dimensional linear models. Journal of the American Statistical Association 2018, In press.

Lu J, Li H: Generalized Linear Models with Linear Constraints for Microbiome Compositional Data. Biometrics 2018, In press.

Cao Y, Lin W, Li H: Large covariance estimation for compositional data via composition-adjusted thresholding. Journal of the American Statistical Association 2018, In press.

Cao Y, Lin W, Li H: Two-sample tests of high dimensional means for compositional data. Biometrika 105(1): 115-132, Mar 2018.

Xia Y, Cai TT, Li H : Joint testing and false discovery rate control in high-dimensional multivariate response regression model. Biometrika Feb 2018.

Liao M, Xie Y, Mao Y, Lu Z, Tan A, Wu C, Zhang Z, Chen Y, Li T, Ye Y, Yao Z, Jiang Y, Li H, Yang X, Wang Q, Mo Z: Comparative analyses of fecal microbiota in Chinese isolated Yao population, minority Zhuang and rural Han by 16S RNA sequencing. Scientific Reports 8(1142), Jan 2018.

Vajravelu R, Scott FI, Mamtani R, Li H, Moore JH, Lewis JD: Medication class enrichment analysis: a novel algorithm to analyze multiple pharmacologic exposures simultaneously using electronic health record data. Journal of the American Medical Informatics Association Jan 2018 Notes: doi: 10.1093/jamia/ocx162. [Epub ahead of print]

Shi P, Li H: A model for paired-multinomial data and its application to analysis of data on a taxonomic tree. Biometrics 73(4): 1266-1278, Dec 2017.

Ni J, Shen TD, Chen EZ, Bittinger K, Bailey A, Roggiani M, Sirota-Madi A, Friedman ES, Chau L, Lin A, Nissim I, Scott J, Lauder A, Hoffmann C, Rivas G, Albenberg L, Baldassano RN, Braun J, Xavier RJ, Clish CB, Yudkoff M, Li H, Goulian M, Bushman FD, Lewis JD, Wu GD: A role for bacterial urease in gut dysbiosis and Crohn's disease. Science Translational Medicine 9(416), Nov 2017.

B Sohn M, Li H: A GLM-Based Latent Variable Ordination Method for Microbiome Samples. Biometrics Oct 2017 Notes: doi: 10.1111/biom.12775. [Epub ahead of print]

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Last updated: 04/11/2018
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