| Metabolomics insights in early childhood caries LH Heimisdóttir, BM Lin, H Cho, A Orlenko, AA Ribeiro, A Simon-Soro, ... Journal of dental research 100 (6), 615-622, 2021 | 29 | 2021 |
| Cohort profile: ZOE 2.0—a community-based genetic epidemiologic study of early childhood oral health K Divaris, GD Slade, AG Ferreira Zandona, JS Preisser, J Ginnis, ... International journal of environmental research and public health 17 (21), 8056, 2020 | 22 | 2020 |
| The bacterial microbiome and metabolome in caries progression and arrest T da Costa Rosa, A de Almeida Neves, MA Azcarate-Peril, K Divaris, ... Journal of oral microbiology 13 (1), 1886748, 2021 | 20 | 2021 |
| The supragingival biofilm in early childhood caries: clinical and laboratory protocols and bioinformatics pipelines supporting metagenomics, metatranscriptomics, and … K Divaris, D Shungin, A Rodríguez-Cortés, PV Basta, J Roach, H Cho, ... Odontogenesis: Methods and Protocols, 525-548, 2019 | 20 | 2019 |
| An automated machine learning classifier for early childhood caries DS Karhade, J Roach, P Shrestha, MA Simancas-Pallares, J Ginnis, ... Pediatric dentistry 43 (3), 191-197, 2021 | 19 | 2021 |
| Selenomonas sputigena acts as a pathobiont mediating spatial structure and biofilm virulence in early childhood caries H Cho, Z Ren, K Divaris, J Roach, BM Lin, C Liu, MA Azcarate-Peril, ... Nature Communications 14 (1), 2919, 2023 | 17* | 2023 |
| Confidence intervals for the area under the receiver operating characteristic curve in the presence of ignorable missing data H Cho, GJ Matthews, O Harel International Statistical Review 87 (1), 152-177, 2019 | 16 | 2019 |
| Multi-stage optimal dynamic treatment regimes for survival outcomes with dependent censoring H Cho, ST Holloway, MR Kosorok Biometrika, 2022 | 15 | 2022 |
| Interval censored recursive forests H Cho, NP Jewell, MR Kosorok Journal of Computational and Graphical Statistics 31 (2), 390-402, 2022 | 10 | 2022 |
| Improved metabolite prediction using microbiome data-based elastic net models J Xie, H Cho, BM Lin, M Pillai, LH Heimisdottir, D Bandyopadhyay, F Zou, ... Frontiers in Cellular and Infection Microbiology 11, 734416, 2021 | 8 | 2021 |
| A bivariate zero-inflated negative binomial model and its applications to biomedical settings H Cho, C Liu, JS Preisser, D Wu Statistical Methods in Medical Research 32 (7), 1300-1317, 2023 | 6* | 2023 |
| Comprehensive evaluation of methods for differential expression analysis of metatranscriptomics data H Cho, Y Qu, C Liu, B Tang, R Lyu, BM Lin, J Roach, MA Azcarate-Peril, ... Briefings in Bioinformatics 24 (5), bbad279, 2023 | 4 | 2023 |
| Machine learning and deep learning in genetics and genomics D Wu, DS Karhade, M Pillai, MZ Jiang, L Huang, G Li, H Cho, J Roach, ... Machine Learning in Dentistry, 163-181, 2021 | 4 | 2021 |
| Discussion of ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’ S Kim, H Cho, D Bang, D De Marchi, H El-Zaatari, KS Shah, M Valancius, ... Biometrika 108 (3), 529-533, 2021 | 2 | 2021 |
| Model selection for survival individualized treatment rules using the jackknife estimator GD Honvoh, H Cho, MR Kosorok BMC Medical Research Methodology 22 (1), 328, 2022 | 1 | 2022 |
| Interval-censored linear quantile regression T Choi, S Park, H Cho, S Choi arXiv preprint arXiv:2404.11125, 2024 | | 2024 |
| Machine Learning and Health Science Research: Tutorial H Cho, J She, D De Marchi, H El-Zaatari, EL Barnes, AR Kahkoska, ... Journal of Medical Internet Research 26, e50890, 2024 | | 2024 |
| BZINB model-based pathway analysis and module identification facilitates integration of microbiome and metabolome data BM Lin, H Cho, C Liu, J Roach, AA Ribeiro, K Divaris, D Wu Microorganisms 11 (3), 766, 2023 | | 2023 |
| Evidence for clinical subtypes of early childhood caries M Simancas-Pallares, A Gormley, P Shrestha, Y Gu, H Cho, H Spangler, ... | | 2023 |
| Inference for change-plane regression C Kang, H Cho, R Song, M Banerjee, EB Laber, MR Kosorok arXiv preprint arXiv:2206.06140, 2022 | | 2022 |
