| Changes in soil carbon stocks across the Forest-Agroforest-Agriculture/Pasture continuum in various agroecological regions: A meta-analysis N Chatterjee, PKR Nair, S Chakraborty, VD Nair Agriculture, ecosystems & environment 266, 55-67, 2018 | 139 | 2018 |
| MR biomarkers predict clinical function in Duchenne muscular dystrophy AM Barnard, RJ Willcocks, WT Triplett, SC Forbes, MJ Daniels, ... Neurology 94 (9), e897-e909, 2020 | 72 | 2020 |
| Modeling disease trajectory in Duchenne muscular dystrophy WD Rooney, YA Berlow, WT Triplett, SC Forbes, RJ Willcocks, DJ Wang, ... Neurology 94 (15), e1622-e1633, 2020 | 69 | 2020 |
| Predictive performance of the American College of Surgeons universal risk calculator in neurosurgical patients S Vaziri, J Wilson, J Abbatematteo, P Kubilis, S Chakraborty, K Kshitij, ... Journal of neurosurgery 128 (3), 942-947, 2017 | 50 | 2017 |
| The surgical knowledge “growth curve”: predicting ABSITE scores and identifying “at-risk” residents DJ Cassidy, S Chakraborty, N Panda, SK McKinley, A Mansur, I Hamdi, ... Journal of surgical education 78 (1), 50-59, 2021 | 24 | 2021 |
| Convergence properties of Gibbs samplers for Bayesian probit regression with proper priors S Chakraborty, K Khare | 20 | 2017 |
| BAMBI: An R package for fitting bivariate angular mixture models S Chakraborty, SWK Wong Journal of Statistical Software 99, 1-69, 2021 | 19* | 2021 |
| Using somatic variant richness to mine signals from rare variants in the cancer genome S Chakraborty, A Arora, CB Begg, R Shen Nature communications 10 (1), 5506, 2019 | 19 | 2019 |
| Genome-derived classification signature for ampullary adenocarcinoma to improve clinical cancer care S Chakraborty, BL Ecker, K Seier, VG Aveson, VP Balachandran, ... Clinical Cancer Research 27 (21), 5891-5899, 2021 | 16 | 2021 |
| Mining mutation contexts across the cancer genome to map tumor site of origin S Chakraborty, A Martin, Z Guan, CB Begg, R Shen Nature Communications 12 (1), 3051, 2021 | 14 | 2021 |
| Estimating accuracy of the MCMC variance estimator: Asymptotic normality for batch means estimators S Chakraborty, SK Bhattacharya, K Khare Statistics & Probability Letters 183, 109337, 2022 | 12* | 2022 |
| Longitudinal changes in cardiac function in Duchenne muscular dystrophy population as measured by magnetic resonance imaging A Batra, AM Barnard, DJ Lott, RJ Willcocks, SC Forbes, S Chakraborty, ... BMC Cardiovascular Disorders 22 (1), 260, 2022 | 8 | 2022 |
| Using the “Hidden” genome to improve classification of cancer types S Chakraborty, CB Begg, R Shen Biometrics 77 (4), 1445-1455, 2021 | 8 | 2021 |
| Consistent estimation of the spectrum of trace class data augmentation algorithms S Chakraborty, K Khare | 8 | 2019 |
| Dual-scan photoacoustic tomography for the imaging of vascular structure on foot C Huang, Y Cheng, W Zheng, RW Bing, H Zhang, I Komornicki, LM Harris, ... IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 70 …, 2023 | 7 | 2023 |
| On the circular correlation coefficients for bivariate von Mises distributions on a torus S Chakraborty, SWK Wong Statistical Papers 64 (2), 643-675, 2023 | 5* | 2023 |
| An epigenetic small molecule screen to target abnormal nuclear morphology in human cells KR Atanasova, S Chakraborty, R Ratnayake, KD Khare, H Luesch, ... Molecular Biology of the Cell 33 (6), ar45, 2022 | 3 | 2022 |
| Prospective assessment of catheter-associated bacteriuria in nursing home residents: clinical presentation, epidemiology, and colonization dynamics CE Armbruster, AL Brauer, MS Humby, J Shao, S Chakraborty medRxiv, 2020.09. 29.20204107, 2020 | 3 | 2020 |
| On the use of the likelihood ratio test methodology in pharmacovigilance S Chakraborty, A Liu, R Ball, M Markatou Statistics in medicine 41 (27), 5395-5420, 2022 | 2 | 2022 |
| A Bayesian approach to envelope quantile regression M Lee, S Chakraborty, Z Su Statistica Sinica 32, 2339-2357, 2022 | 2 | 2022 |
Kshitij KhareFaculty, Department of Statistics, University of Florida在 stat.ufl.edu 的电子邮件经过验证
