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, 138-140, 2015 | 428 | 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 | 272 | 2010 |
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 | 255 | 2016 |
Statistical normalization techniques for magnetic resonance imaging RT Shinohara, EM Sweeney, J Goldsmith, N Shiee, FJ Mateen, ... NeuroImage: Clinical 6, 9-19, 2014 | 240 | 2014 |
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 | 168 | 2014 |
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 | 142 | 2014 |
Corrected Confidence Bands for Functional Data Using Principal Components J Goldsmith, S Greven, CM Crainiceanu Biometrics 69 (1), 41-51, 2013 | 135 | 2013 |
Methods for scalar‐on‐function regression PT Reiss, J Goldsmith, HL Shang, RT Ogden International Statistical Review 85 (2), 228-249, 2017 | 132 | 2017 |
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 | 108 | 2012 |
Generalized Multilevel Functional-on-Scalar Regression and Principal Component Analysis J Goldsmith, V Zipunnikov, J Schrack | 104 | 2014 |
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 | 102 | 2016 |
Bayesian functional data analysis using WinBUGS CM Crainiceanu, J Goldsmith Journal of Statistical Software 32 (11), 1-25, 2009 | 88 | 2009 |
Short-and intermediate-term exposure to NO2 and mortality: a multi-county analysis in China MZ He, PL Kinney, T Li, C Chen, Q Sun, J Ban, J Wang, S Liu, J Goldsmith, ... Environmental Pollution 261, 114165, 2020 | 85 | 2020 |
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 | 85 | 2014 |
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 | 78 | 2015 |
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 | 76 | 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 | 73 | 2012 |
An introduction with medical applications to functional data analysis H Sorensen, J Goldsmith, LM Sangalli Statistics in Medicine 32 (5222-5240), 2013 | 72 | 2013 |
TTR (transthyretin) stabilizers are associated with improved survival in patients with TTR cardiac amyloidosis H Rosenblum, A Castano, J Alvarez, J Goldsmith, S Helmke, MS Maurer Circulation: Heart Failure 11 (4), e004769, 2018 | 66 | 2018 |
Rethinking interhemispheric imbalance as a target for stroke neurorehabilitation J Xu, M Branscheidt, H Schambra, L Steiner, M Widmer, J Diedrichsen, ... Annals of neurology 85 (4), 502-513, 2019 | 62 | 2019 |