Jeff Goldsmith
Jeff Goldsmith
Associate Professor, Department of Biostatistics, Columbia University
Verified email at - Homepage
Cited by
Cited by
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
Statistical normalization techniques for magnetic resonance imaging
RT Shinohara, EM Sweeney, J Goldsmith, N Shiee, FJ Mateen, ...
NeuroImage: Clinical 6, 9-19, 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
Penalized functional regression
J Goldsmith, J Bobb, CM Crainiceanu, B Caffo, D Reich
Journal of Computational and Graphical Statistics 20 (4), 830-851, 2010
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
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
Methods for scalar‐on‐function regression
PT Reiss, J Goldsmith, HL Shang, RT Ogden
International Statistical Review 85 (2), 228-249, 2017
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
Corrected Confidence Bands for Functional Data Using Principal Components
J Goldsmith, S Greven, CM Crainiceanu
Biometrics 69 (1), 41-51, 2013
Generalized Multilevel Functional-on-Scalar Regression and Principal Component Analysis
J Goldsmith, V Zipunnikov, J Schrack
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 (3 …, 2012
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
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
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
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
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
Bayesian functional data analysis using WinBUGS
CM Crainiceanu, J Goldsmith
Journal of Statistical Software 32 (11), 1-25, 2009
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
An introduction with medical applications to functional data analysis
H Sorensen, J Goldsmith, LM Sangalli
Statistics in Medicine 32 (5222-5240), 2013
An overview of methods to address distinct research questions on environmental mixtures: an application to persistent organic pollutants and leukocyte telomere length
EA Gibson, Y Nunez, A Abuawad, AR Zota, S Renzetti, KL Devick, ...
Environmental Health 18, 1-16, 2019
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