Publications

Filters: Keyword is Regression Analysis and Author is Tzeng, Jung-Ying  [Clear All Filters]
Journal Article
Wang, Xin, Michael P. Epstein, and Jung-Ying Tzeng. "Analysis of gene-gene interactions using gene-trait similarity regression." Hum Hered 78, no. 1 (2014): 17-26.
Zhao, Guolin, Rachel Marceau, Daowen Zhang, and Jung-Ying Tzeng. "Assessing gene-environment interactions for common and rare variants with binary traits using gene-trait similarity regression." Genetics 199, no. 3 (2015): 695-710.
Hung, Hung, Yu-Ting Lin, Penweng Chen, Chen-Chien Wang, Su-Yun Huang, and Jung-Ying Tzeng. "Detection of gene-gene interactions using multistage sparse and low-rank regression." Biometrics 72, no. 1 (2016): 85-94.
Koehler, Megan L., Howard D. Bondell, and Jung-Ying Tzeng. "Evaluating haplotype effects in case-control studies via penalized-likelihood approaches: prospective or retrospective analysis?" Genet Epidemiol 34, no. 8 (2010): 892-911.
Marceau, Rachel, Wenbin Lu, Shannon Holloway, Michèle M. Sale, Bradford B. Worrall, Stephen R. Williams, Fang-Chi Hsu, and Jung-Ying Tzeng. "A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction." Genet Epidemiol 39, no. 6 (2015): 456-68.
Wang, Xin, Daowen Zhang, and Jung-Ying Tzeng. "Pathway-guided identification of gene-gene interactions." Ann Hum Genet 78, no. 6 (2014): 478-91.
Neely, Megan L., Howard D. Bondell, and Jung-Ying Tzeng. "A penalized likelihood approach for investigating gene-drug interactions in pharmacogenetic studies." Biometrics 71, no. 2 (2015): 529-37.
Tzeng, Jung-Ying, Daowen Zhang, Monnat Pongpanich, Chris Smith, Mark I. McCarthy, Michèle M. Sale, Bradford B. Worrall, Fang-Chi Hsu, Duncan C. Thomas, and Patrick F. Sullivan. "Studying gene and gene-environment effects of uncommon and common variants on continuous traits: a marker-set approach using gene-trait similarity regression." Am J Hum Genet 89, no. 2 (2011): 277-88.
Kong, Dehan, Arnab Maity, Fang-Chi Hsu, and Jung-Ying Tzeng. "Testing and estimation in marker-set association study using semiparametric quantile regression kernel machine." Biometrics 72, no. 2 (2016): 364-71.