| Fitbit®: An accurate and reliable device for wireless physical activity tracking KM Diaz, DJ Krupka, MJ Chang, J Peacock, Y Ma, J Goldsmith, ... International journal of cardiology 185, 138, 2015 | 364 | 2015 |
| Penalized functional regression J Goldsmith, J Bobb, CM Crainiceanu, B Caffo, D Reich Journal of Computational and Graphical Statistics 20 (4), 830-851, 2010 | 231 | 2010 |
| Statistical normalization techniques for magnetic resonance imaging RT Shinohara, EM Sweeney, J Goldsmith, N Shiee, FJ Mateen, ... NeuroImage: Clinical 6, 9-19, 2014 | 173 | 2014 |
| Multicenter study of planar technetium 99m pyrophosphate cardiac imaging: predicting survival for patients with ATTR cardiac amyloidosis A Castano, M Haq, DL Narotsky, J Goldsmith, RL Weinberg, ... JAMA cardiology 1 (8), 880-889, 2016 | 162 | 2016 |
| Assessing the “physical cliff”: detailed quantification of age-related differences in daily patterns of physical activity JA Schrack, V Zipunnikov, J Goldsmith, J Bai, EM Simonsick, ... Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences …, 2014 | 127 | 2014 |
| Corrected Confidence Bands for Functional Data Using Principal Components J Goldsmith, S Greven, CM Crainiceanu Biometrics 69 (1), 41-51, 2013 | 106 | 2013 |
| Refund: Regression with functional data J Goldsmith, F Scheipl, L Huang, J Wrobel, J Gellar, J Harezlak, ... R package version 0.1-16 572, 2016 | 99 | 2016 |
| Prevalence and prognostic significance of low QRS voltage among the three main types of cardiac amyloidosis NB Cyrille, J Goldsmith, J Alvarez, MS Maurer The American journal of cardiology 114 (7), 1089-1093, 2014 | 96 | 2014 |
| Longitudinal penalized functional regression for cognitive outcomes on neuronal tract measurements J Goldsmith, CM Crainiceanu, B Caffo, D Reich Journal of the Royal Statistical Society: Series C (Applied Statistics) 61 …, 2012 | 94 | 2012 |
| Methods for scalar‐on‐function regression PT Reiss, J Goldsmith, HL Shang, RT Ogden International Statistical Review 85 (2), 228-249, 2017 | 86 | 2017 |
| refund: Regression with functional data C Crainiceanu, P Reiss, J Goldsmith, L Huang, L Huo, F Scheipl, ... R package version 0.1-6, 2012 | 71 | 2012 |
| Bayesian functional data analysis using WinBUGS CM Crainiceanu, J Goldsmith Journal of Statistical Software 32 (11), 1-25, 2009 | 71 | 2009 |
| Generalized Multilevel Functional-on-Scalar Regression and Principal Component Analysis J Goldsmith, V Zipunnikov, J Schrack | 68 | 2014 |
| Smooth Scalar-on-Image Regression via Spatial Bayesian Variable Selection J Goldsmith, L Huang, CM Crainiceanu Journal of Computational and Graphical Statistics 23, 46-64, 2014 | 67 | 2014 |
| An introduction with medical applications to functional data analysis H Sorensen, J Goldsmith, LM Sangalli Statistics in Medicine 32 (5222-5240), 2013 | 59 | 2013 |
| To excise or not: impact of MelaFind on German dermatologists’ decisions to biopsy atypical lesions A Hauschild, SC Chen, M Weichenthal, A Blum, HC King, J Goldsmith, ... JDDG: Journal der Deutschen Dermatologischen Gesellschaft 12 (7), 606-614, 2014 | 52 | 2014 |
| A short and distinct time window for recovery of arm motor control early after stroke revealed with a global measure of trajectory kinematics JC Cortes, J Goldsmith, MD Harran, J Xu, N Kim, HM Schambra, AR Luft, ... Neurorehabilitation and neural repair 31 (6), 552-560, 2017 | 48 | 2017 |
| Longitudinal scalar-on-functions regression with application to tractography data J Gertheiss, J Goldsmith, C Crainiceanu, S Greven Biostatistics 14 (3), 447-461, 2013 | 48 | 2013 |
| Weight‐related behaviors when children are in school versus on summer breaks: does income matter? YC Wang, S Vine, A Hsiao, A Rundle, J Goldsmith Journal of School Health 85 (7), 458-466, 2015 | 47 | 2015 |
| Penalized functional regression analysis of white-matter tract profiles in multiple sclerosis J Goldsmith, CM Crainiceanu, BS Caffo, DS Reich NeuroImage 57 (2), 431-439, 2011 | 47 | 2011 |
Ciprian CrainiceanuProfessor of Biostatistics, Johns Hopkins UniversityVerified email at jhsph.edu
