| semTools: Useful tools for structural equation modeling TD Jorgensen, S Pornprasertmanit, AM Schoemann, Y Rosseel, P Miller, ... R package version 0.5 1, 2018 | 992* | 2018 |
| PTWAS: investigating tissue-relevant causal molecular mechanisms of complex traits using probabilistic TWAS analysis Y Zhang, C Quick, K Yu, A Barbeira, GTEx Consortium, F Luca, ... Genome biology 21, 1-26, 2020 | 59 | 2020 |
| A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies Z Li, X Li, H Zhou, SM Gaynor, MS Selvaraj, T Arapoglou, C Quick, Y Liu, ... Nature methods 19 (12), 1599-1611, 2022 | 45 | 2022 |
| Sequencing and imputation in GWAS: Cost‐effective strategies to increase power and genomic coverage across diverse populations C Quick, P Anugu, S Musani, ST Weiss, EG Burchard, MJ White, KL Keys, ... Genetic epidemiology 44 (6), 537-549, 2020 | 43 | 2020 |
| semTools: Useful Tools for Structural Equation Modeling. 2021 TD Jorgensen, S Pornprasertmanit, AM Schoemann, Y Rosseel, P Miller, ... URL: https://CRAN. R-project. org/package= semTools [accessed 2021-04-30], 2022 | 38 | 2022 |
| Identifying US County-level characteristics associated with high COVID-19 burden D Li, SM Gaynor, C Quick, JT Chen, BJK Stephenson, BA Coull, X Lin BMC Public Health 21 (1), 1007, 2021 | 31* | 2021 |
| Regression models for understanding COVID-19 epidemic dynamics with incomplete data C Quick, R Dey, X Lin Journal of the American Statistical Association 116 (536), 1561-1577, 2021 | 23 | 2021 |
| Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies X Li, C Quick, H Zhou, SM Gaynor, Y Liu, H Chen, MS Selvaraj, R Sun, ... Nature genetics 55 (1), 154-164, 2023 | 22 | 2023 |
| Evidence in the UK Biobank for the underdiagnosis of erythropoietic protoporphyria AK Dickey, C Quick, S Ducamp, Z Zhu, YCA Feng, H Naik, M Balwani, ... Genetics in Medicine 23 (1), 140-148, 2021 | 19 | 2021 |
| Integrating comprehensive functional annotations to boost power and accuracy in gene-based association analysis C Quick, X Wen, G Abecasis, M Boehnke, HM Kang PLoS Genetics 16 (12), e1009060, 2020 | 14 | 2020 |
| emeraLD: rapid linkage disequilibrium estimation with massive datasets C Quick, C Fuchsberger, D Taliun, G Abecasis, M Boehnke, HM Kang Bioinformatics 35 (1), 164-166, 2019 | 13 | 2019 |
| BAGSE: a Bayesian hierarchical model approach for gene set enrichment analysis A Hukku, C Quick, F Luca, R Pique-Regi, X Wen Bioinformatics 36 (6), 1689-1695, 2020 | 8 | 2020 |
| Multi-resolution characterization of the COVID-19 pandemic: a unified framework and open-source tool A Shi, SM Gaynor, C Quick, X Lin medRxiv, 2021.03. 12.21253496, 2021 | 7 | 2021 |
| COVID-19 Spread Mapper: a multi-resolution, unified framework and open-source tool A Shi, SM Gaynor, R Dey, H Zhang, C Quick, X Lin Bioinformatics 38 (9), 2661-2663, 2022 | 6 | 2022 |
| A versatile toolkit for molecular QTL mapping and meta-analysis at scale C Quick, L Guan, Z Li, X Li, R Dey, Y Liu, L Scott, X Lin Biorxiv, 2020.12. 18.423490, 2020 | 5 | 2020 |
| The association between inflammatory and oxidative stress biomarkers and plasma metabolites in a longitudinal study of healthy male welders S Gao, C Quick, M Guasch-Ferre, Z Zhuo, JM Hutchinson, L Su, F Hu, ... Journal of Inflammation Research, 2825-2839, 2021 | 4 | 2021 |
| Rejoinder: Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data C Quick, R Dey, X Lin Journal of the American Statistical Association 116 (536), 1591-1594, 2021 | 2 | 2021 |
| Multi-resolution characterization of the COVID-19 pandemic: A unified framework and open-source tool (preprint) A Shi, SM Gaynor, C Quick, X Lin | | 2021 |
| APEX Supplementary Materials C Quick, L Guan, Z Li, X Li, R Dey, Y Liu, L Scott, X Lin | | 2020 |
| Unraveling US National COVID-19 Racial/Ethnic Disparities using County Level Data Among 328 Million Americans (preprint) D Li, SM Gaynor, C Quick, JT Chen, BJK Stephenson, BA Coull, X Lin | | 2020 |
