| Geometric constraints during epithelial jamming L Atia, D Bi, Y Sharma, JA Mitchel, B Gweon, S A. Koehler, SJ DeCamp, ... Nature physics 14 (6), 613-620, 2018 | 237 | 2018 |
| Outcome of early dental implant placement versus other dental implant placement protocols: a systematic review and meta‐analysis SH Bassir, K El Kholy, CY Chen, KH Lee, G Intini Journal of periodontology 90 (5), 493-506, 2019 | 154 | 2019 |
| Bayesian semiparametric analysis of semicompeting risks data: investigating hospital readmission after a pancreatic cancer diagnosis KH Lee, S Haneuse, D Schrag, F Dominici Journal of the Royal Statistical Society Series C: Applied Statistics 64 (2 …, 2015 | 81 | 2015 |
| Semi-competing risks data analysis: accounting for death as a competing risk when the outcome of interest is nonterminal S Haneuse, KH Lee Circulation: Cardiovascular Quality and Outcomes 9 (3), 322-331, 2016 | 73 | 2016 |
| Interplay between diet and gut microbiome, and circulating concentrations of trimethylamine N-oxide: findings from a longitudinal cohort of US men J Li, Y Li, KL Ivey, DD Wang, JE Wilkinson, A Franke, KH Lee, A Chan, ... Gut 71 (4), 724-733, 2022 | 62 | 2022 |
| Lagged kernel machine regression for identifying time windows of susceptibility to exposures of complex mixtures SH Liu, JF Bobb, KH Lee, C Gennings, B Claus Henn, D Bellinger, ... Biostatistics 19 (3), 325-341, 2018 | 53 | 2018 |
| Hierarchical models for semicompeting risks data with application to quality of end-of-life care for pancreatic cancer KH Lee, F Dominici, D Schrag, S Haneuse Journal of the American Statistical Association 111 (515), 1075-1095, 2016 | 50 | 2016 |
| A framework for microbiome science in public health JE Wilkinson, EA Franzosa, C Everett, C Li, FB Hu, DF Wirth, M Song, ... Nature medicine 27 (5), 766-774, 2021 | 49 | 2021 |
| Unjamming and collective migration in MCF10A breast cancer cell lines JH Kim, AF Pegoraro, A Das, SA Koehler, SA Ujwary, B Lan, JA Mitchel, ... Biochemical and biophysical research communications 521 (3), 706-715, 2020 | 47 | 2020 |
| Bayesian variable selection in semiparametric proportional hazards model for high dimensional survival data KH Lee, S Chakraborty, J Sun The International Journal of Biostatistics 7 (1), 0000102202155746791301, 2011 | 46 | 2011 |
| Temporal trend in the reported birth prevalence of cleft lip and/or cleft palate in Brazil, 2000 to 2013 MHNG Abreu, KH Lee, DV Luquetti, JR Starr Birth Defects Research Part A: Clinical and Molecular Teratology 106 (9 …, 2016 | 41 | 2016 |
| SemiCompRisks: An R Package for the Analysis of Independent and Cluster-correlated Semi-competing Risks Data D Alvares, S Haneuse, C Lee, KH Lee The R Journal 11 (1), 376–400, 2019 | 35* | 2019 |
| Mapping the tooth enamel proteome and amelogenin phosphorylation onto mineralizing porcine tooth crowns DR Green, F Schulte, KH Lee, M Pugach-Gordon, M Hardt, FB Bidlack Frontiers in Physiology 10, 925, 2019 | 35 | 2019 |
| Incidence of AIDS-defining opportunistic infections and mortality during antiretroviral therapy in a cohort of adult HIV-infected individuals in Hanoi, 2007-2014 J Tanuma, KH Lee, S Haneuse, S Matsumoto, DT Nguyen, DTH Nguyen, ... PloS one 11 (3), e0150781, 2016 | 32 | 2016 |
| Oral microbiota in youth with perinatally acquired HIV infection JR Starr, Y Huang, KH Lee, CM Murphy, AB Moscicki, CH Shiboski, ... Microbiome 6, 1-9, 2018 | 28 | 2018 |
| Accelerated failure time models for semi-competing risks data in the presence of complex censoring KH Lee, V Rondeau, S Haneuse Biometrics 73 (4), 1401-1412, 2017 | 27 | 2017 |
| Bayesian variable selection for multivariate zero-inflated models: Application to microbiome count data KH Lee, BA Coull, AB Moscicki, BJ Paster, JR Starr Biostatistics 21 (3), 499-517, 2020 | 22 | 2020 |
| Multivariate Bayesian variable selection exploiting dependence structure among outcomes: Application to air pollution effects on DNA methylation KH Lee, MG Tadesse, AA Baccarelli, J Schwartz, BA Coull Biometrics 73 (1), 232-241, 2017 | 19 | 2017 |
| Survival prediction and variable selection with simultaneous shrinkage and grouping priors KH Lee, S Chakraborty, J Sun Statistical Analysis and Data Mining: The ASA Data Science Journal 8 (2 …, 2015 | 14 | 2015 |
| Variable selection for high-dimensional genomic data with censored outcomes using group lasso prior KH Lee, S Chakraborty, J Sun Computational statistics & data analysis 112, 1-13, 2017 | 9 | 2017 |
Sebastien HaneuseHarvard T.H. Chan School of Public HealthEmail verificata su hsph.harvard.edu
