Assistant Professor of Epidemiology and Biostatistics
Division of Biostatistics
Ph.D., 2008 Case Western Reserve University
Department of Epidemiology and Biostatistics
Michigan State University
909 Fee Road Room 601
East Lansing, Michigan 48824
Telephone: 517.353.8623 x137
Fax: 517.432.1130
Email: qlu@msu.edu
Website: https://www.msu.edu/~qlu
Qing Lu is an Assistant Professor in the Department of Epidemiology and Biostatistics at Michigan State University. His research interest is primarily in statistical genetics. One area of research is the development and application of new statistical methods for association analysis of genome-wide data and next generation sequencing data (e.g., using U-statistics for high-dimensional gene-gene/gene-environment interaction analyses). In parallel with this line of research, his group also develops statistical methods and software for designing and evaluating population-based and family-based risk prediction models.
Lu Q, Elston RC. Using the optimal receiver operating characteristic (ROC) curve to design a predictive genetic test exemplified with Type 2 Diabetes. Am J Hum Genet. 2008; 82(3):641-51. PMID: 18319073
Lu Q, Obuchowski N, Won S, Zhu X, Elston RC. Using the robust optimal receiver operating characteristic curve for predictive genetic tests. Biometrics. 2010; 66(2):586-93. PMID: 19508241
Lu Q, Cui YH, Ye C, Wei C and Elston RC. A bagging optimal roc curve method for predictive genetic tests with an application to rheumatoid arthritis. Journal of Biopharmaceutical Statistics 2010; 20(2):401-14. PMID: 20309765
Ye C, Zhu J, Lu Q. A Clustered Optimal ROC Curve Method for Family-based Genetic Risk Prediction. Statistics and its interface 2011; 4(3):373-380
Ye C, Cui Y, Wei C, Elston RC, Zhu J, Lu Q. A non-parametric method
for building predictive genetic tests on high-dimensional data. Hum
Hered. 2011; 71(3):161-70. PMID: 21778735
Li M, Ye C, Fu W, Elston RC, Lu Q Detecting the Joint Action of Genes
for Quantitative Traits with U-Statistics. Genetic Epidemiology 2011;
35(6):457-68. PMID: 21618602
Lu Q, Wei C, Ye C, Li M, Elston RC. A Likelihood Ratio based Mann-Whitney Approach Finds Novel Replicable Joint Gene Action for Type 2 Diabetes. Genetic Epidemiology 2012; 36(6):583-93. PMID: 22760990
Wei C, Schaid DJ, Lu Q Trees Assembling Mann-Whitney Approach for Detecting Genome-wide Joint Association among Low-Marginal-Effect loci. Genet Epidemiol. 2013 Jan;37(1):84-91. PMID: 23135745