| Effects of internet and smartphone addictions on depression and anxiety based on propensity score matching analysis YJ Kim, H Jang, Y Lee, D Lee, DJ Kim International journal of environmental research and public health 15 (5), 859, 2018 | 141 | 2018 |
| Distinct patterns of Internet and smartphone-related problems among adolescents by gender: Latent class analysis SY Lee, D Lee, CR Nam, DY Kim, S Park, JG Kwon, YS Kweon, Y Lee, ... Journal of behavioral addictions 7 (2), 454-465, 2018 | 104 | 2018 |
| Sparse partial least-squares regression and its applications to high-throughput data analysis D Lee, W Lee, Y Lee, Y Pawitan Chemometrics and Intelligent Laboratory Systems 109 (1), 1-8, 2011 | 91 | 2011 |
| Estimation of breeding values for mean and dispersion, their variance and correlation using double hierarchical generalized linear models M Felleki, D Lee, Y Lee, AR Gilmour, L Rönnegård Genetics research 94 (6), 307-317, 2012 | 66 | 2012 |
| Associations of personality and clinical characteristics with excessive Internet and smartphone use in adolescents: A structural equation modeling approach B Jeong, JY Lee, BM Kim, E Park, JG Kwon, DJ Kim, Y Lee, JS Choi, ... Addictive behaviors 110, 106485, 2020 | 62 | 2020 |
| Super-sparse principal component analyses for high-throughput genomic data D Lee, W Lee, Y Lee, Y Pawitan BMC bioinformatics 11 (1), 296, 2010 | 60 | 2010 |
| Urinary exosomal and cell-free DNA detects somatic mutation and copy number alteration in urothelial carcinoma of bladder DH Lee, H Yoon, S Park, JS Kim, YH Ahn, K Kwon, D Lee, KH Kim Scientific reports 8 (1), 14707, 2018 | 57 | 2018 |
| Integration of somatic mutation, expression and functional data reveals potential driver genes predictive of breast cancer survival C Suo, O Hrydziuszko, D Lee, S Pramana, D Saputra, H Joshi, S Calza, ... Bioinformatics 31 (16), 2607-2613, 2015 | 54 | 2015 |
| Longitudinal relationship among private tutoring, student-parent conversation, and student achievement. H Sohn, D Lee, S Jang, TK Kim KEDI Journal of Educational Policy 7 (1), 2010 | 44 | 2010 |
| Identification of major psychiatric disorders from resting-state electroencephalography using a machine learning approach SM Park, B Jeong, DY Oh, CH Choi, HY Jung, JY Lee, D Lee, JS Choi Frontiers in Psychiatry, 1398, 2021 | 41 | 2021 |
| Sparse canonical covariance analysis for high-throughput data W Lee, D Lee, Y Lee, Y Pawitan Statistical Applications in Genetics and Molecular Biology 10 (1), 1-24, 2011 | 39 | 2011 |
| Rediscovery rate estimation for assessing the validation of significant findings in high-throughput studies A Ganna, D Lee, E Ingelsson, Y Pawitan Briefings in Bioinformatics 16 (4), 563-575, 2015 | 31 | 2015 |
| Comprehensive landscape of subtype-specific coding and non-coding RNA transcripts in breast cancer TN Vu, S Pramana, S Calza, C Suo, D Lee, Y Pawitan Oncotarget 7 (42), 68851, 2016 | 22 | 2016 |
| Investigation of Correlated Internet and Smartphone Addiction in Adolescents: Copula Regression Analysis M Lee, SJ Chung, Y Lee, S Park, JG Kwon, DJ Kim, D Lee, JS Choi International Journal of Environmental Research and Public Health 17 (16), 5806, 2020 | 17 | 2020 |
| Sparse partial least‐squares regression for high‐throughput survival data analysis D Lee, Y Lee, Y Pawitan, W Lee Statistics in medicine 32 (30), 5340-5352, 2013 | 16 | 2013 |
| Collective intelligence ratio: Measurement of real-time multimodal interactions in team projects P Kim, D Lee, Y Lee, C Huang, T Makany Team Performance Management: An International Journal 17 (1/2), 41-62, 2011 | 16 | 2011 |
| Extended likelihood approach to multiple testing with directional error control under a hidden Markov random field model D Lee, Y Lee Journal of Multivariate Analysis 151, 1-13, 2016 | 14 | 2016 |
| Healthcare resource use and costs of diabetic macular oedema for patients with antivascular endothelial growth factor versus a dexamethasone intravitreal implant in Korea: a … HJ Cho, KS Choi, JY Lee, D Lee, NK Choi, YK Lee, SJ Bae BMJ Open 9 (9), e030930, 2019 | 13 | 2019 |
| Improved multisite stochastic weather generation with applications to historical data in South Korea D Lee, H An, Y Lee, J Lee, HS Lee, HS Oh Asia-Pacific Journal of Atmospheric Sciences 46, 497-504, 2010 | 12 | 2010 |
| Application of Machine Learning Classification to Improve the Performance of Vancomycin Therapeutic Drug Monitoring S Lee, M Song, J Han, D Lee, BH Kim Pharmaceutics 14 (5), 1023, 2022 | 11 | 2022 |
Youngjo LeeProfessor of Statistics, Seoul National UniversityEmail yang diverifikasi di snu.ac.kr
