Google Scholar Page

In the following, denotes equal contribution and indicates a student under my supervision.


E. A. Gibson, J. Goldsmith, and M.-A. Kioumourtzoglou (2019+). Complex Mixtures, Complex Analyses: an Emphasis on Interpretable Results. Current Environmental Health Reports, accepted. [Link]

J. Xu, M. Branscheidt, H. Schambra, L. Steiner, M. Widmer, J. Diedrichsen, J. Goldsmith, M. Lindquist, T. Kitago, A. R. Luft, J. W. Krakauer, P. A. Celnik, SMARTS Study Group (2019) Rethinking interhemispheric imbalance as a target for stroke neurorehabilitation. Annals of neurology, 85 502-513. [Link | PubMed]

Y. Chen, J. Goldsmith, and R. T. Ogden (2019). Nonlinear mixed-effects models for PET data. Transactions on Biomedical Engineering, 66 881-891. [Link]

R. Liu, R. C. Shelton, N. Eldred-Skemp, J. Goldsmith, and S. F. Suglia (2019) Early Exposure to Cumulative Social Risk and Trajectories of Body Mass Index in Childhood. Childhood Obesity, 15 48-55. [Link | PubMed]


J. Lee, G. Li, W. F. Christensen, G. Collins, M. Seeley, A. E. Bowden, D. T. Fullwood, and J. Goldsmith (2018). Functional Data Analyses of Gait Data Measured Using In-Shoe Sensors. Statistics in Biosciences, accepted.

J. A. Woo Baidal, K. Morel, K. Nichols, E. Elbel, N. Charles, J. Goldsmith, L. Chen, and E. M. Taveras (2018+). Sugar-sweetened beverage attitudes and consumption during the first 1,000 days of life. American Journal of Public Health, accepted.

J. Wrobel, V. Zipunnikov, J. Schrack, and J. Goldsmith (2018+). Registration for exponential family functional data. Biometrics, accepted.

Y. Chen, J. Goldsmith, and R. T. Ogden (2018+). Functional data analysis of dynamic PET data. Journal of the American Statistical Association, accepted.

D. Backenroth, J. Goldsmith, M. D. Harran, J. C. Cortes, J. W. Krakauer, and T. Kitago (2018+). Modeling motor learning using heteroskedastic functional principal components analysis. Journal of the American Statistical Association, accepted. [PDF]

H. Rosenblum, A. Castano, J. Alvarez, J. Goldsmith, S. Helmke, M.S. Maurer (2018). TTR (Transthyretin) Stabilizers Are Associated With Improved Survival in Patients With TTR Cardiac Amyloidosis. Circulation: Heart Failure, 11 e004769. [Link | PubMed]

K. M. Diaz, D. J. Krupka, M. J. Chang, I. M. Kronish, N. Moise, J. Goldsmith, and J. E. Schwartz (2018). Wrist-based cut-points for moderate- and vigorous-intensity physical activity for the Actical accelerometer in adults. Journal of Sports Sciences, 36 206-212. [Link | PubMed]


K. M. Diaz, J. Goldsmith, H. Greenlee, G. Strizich, Q. Qi, Y. Mossavar-Rahmani, D. C. Vidot, C. Buelna, C. E. Brintz, T. Elfassy, L. C. Gallo, M. L. Daviglus, D. Sotres-Alvarez, R. C. Kaplan (2017). Prolonged, Uninterrupted Sedentary Behavior and Glycemic Biomarkers Among US Hispanic/Latino Adults Circulation, 136 1362-1373. [Link | PubMed]

M. S. Maurer, E. Horn, A. Reyentovich, V. V. Dickson, S. Pinney, D. Goldwater, N. E. Goldstein, O. Jimenez, S. Teruya, J. Goldsmith, S. Helmke, M. Yuzefpolskaya, and G. R Reeves (2017). Can a Left Ventricular Assist Devices in Advanced Systolic Heart Failure Improve or Reverse the Frailty Phenotype? Journal of the American Geriatrics Society, 65 2383-2390. [Link | PubMed]

J. C. Cortes, J. Goldsmith, M. Harran, J. Xu, N. Kim, A. R. Luft, P. Celnik, J. W. Krakauer, and T. Kitago (2017). A short and distinct time window for recovery of arm motor control after stroke revealed with a global measure of trajectory kinematics. Neurorehabilitation and Neural Repair, 31 552-560. [Link | PubMed]

M. Kronish, K. M. Diaz, J. Goldsmith, N. Moise, and J. E. Schwartz. Objectively measured adherence to physical activity guidelines after acute coronary syndrome (2017). Journal of the American College of Cardiology, 69 1205. [Link | PubMed]

J. Goldsmith and J. E. Schwartz. Variable Selection in the Functional Linear Concurrent Model (2017). Statistics in Medicine, 36 2237-2250. [Link | PubMed | GitHub]

A. L. Wong, J. Goldsmith, A. D. Forrence, A. M. Haith, and J. W. Krakauer (2017). Habitual selection of reaction times. eLife, 6 e28075. [Link]

P. T. Reiss, J. Goldsmith, H. L. Shang, and R. T. Ogden. Methods for Scalar-on-Function Regression (2017). International Statistical Review, 85 228-249. [Link | PubMed]

J. Gertheiss, J. Goldsmith, and A.-M. Staicu (2017). A note on modeling sparse exponential-family functional response curves. Computational Statistics and Data Analysis, 105 46-52. [Link | GitHub]


A. Castano, M. Haq, D. Narotsky, J. Goldsmith, R. L. Weinberg, R. Morgenstern, T. Pozniakoff, F. L. Ruberg, E. J. Miller, J. L. Berk, A. Dispenzieri, M. Grogan, G. Johnson, S. Bokhari, and M. S. Maurer (2016). Multicenter Experience of Planar Technetium Pyrophosphate Cardiac Imaging: Does Preferential Cardiac Uptake Predict Survival in Patients with ATTR Cardiac Amyloidosis? JAMA Cardiology, 1 880-889.

J. Goldsmith. vbvs.concurrent: Fitting Methods for the Functional Linear Concurrent Model (2016). The Journal of Open Source Software, 1. [Link | GitHub]

S. T. Sorge, D. C. Hesdorffer, J. C. Phelan, M. R. Winawer, S. Shostak, J. Goldsmith, W. K. Chung, R. Ottman (2016). Genetic causal attribution and depression in multiplex epilepsy families. Epilepsia, 57 1643-1650. [Link | PubMed]

A. L. Wong, J. Goldsmith, J Krakauer (2016). A motor planning stage represents the shape of upcoming movement trajectories. Journal of Neurophysiology, 116 296-305. [Link | PubMed]

J. Goldsmith, X. Liu, J. S. Jacobson, A. Rundle (2016). New insights into activity patterns in children, found using functional data analyses. Medicine and Science in Sports and Exercise, 48 1723-1729. [Link | PDF | Code | PubMed]

J. Wrobel, S.Y. Park, A.M. Staicu, J. Goldsmith (2016). Interactive graphics for functional data analyses. Stat, 5 108-118. [arXiv | Link | GitHub | CRAN]

Y. Chen, J. Goldsmith, T. Ogden (2016). Variable Selection in Function-on-Scalar Regression. Stat, 5 88-101. [Link | PDF | Implemented in refund as fosr.vs()]

J. Goldsmith, T. Kitago (2016). Assessing Systematic Effects of Stroke on Motor Control using Hierarchical Function-on-Scalar Regression. Journal of the Royal Statistical Society: Series C, 65 215-236. [PDF | Link | Code | Shiny App]

C. B. Caminiti, D. C. Hesdorffer, S. Shostak, J. Goldsmith, S. T. Sorge, M. R. Winawer, J. C. Phelan, W. K. Chung, and R. Ottman (2016). Parents’ interest in genetic testing of their offspring in multiplex epilepsy families. Epilepsia, 57 279-287. [Link | PubMed]

K. M. Diaz, D. J Krupka, M. J. Chang, J. A. Schaffer, Y. Ma, J. Goldsmith, J. E. Schwartz, K. W. Davidson (2016). Validation of the Fitbit One for physical activity measurement at an upper torso attachment site. BMC Research Notes, 9 213. [Link | PubMed]

M. Abdalla, J. Goldsmith, P. Muntner, K. M. Diaz, K. Reynolds, J. E. Schwartz, D. Shimbo (2016). Is Isolated Nocturnal Hypertension a Reproducible Phenotype? American Journal of Hypertension, 29 33-38. [Link | PubMed]


T. Kitago, J. Goldsmith, M. Harran, L. Kane, J. Berard, S. Huang, S. Ryan, P. Mazzoni, J, Krakauer, and V. Huang (2015). Robotic therapy for chronic stroke: general recovery of impairment or improved task-specific skill? Journal of Neurophysiology, 114 1885-1894. [Link | PubMed] († denotes equal contribution)

J. Goldsmith, V. Zipunnikov, J. Schrack (2015). Generalized Multilevel Functional-on-Scalar Regression and Principal Component Analysis. Biometrics, 71 344-353. [Link | PubMed | Code | Shiny App]

U. M. Schambra, J. Goldsmith, H. M. Schambra, K. Nunleya, S. Harirforoosh, Y. Liu , and S. S. Moy (2015). Low and moderate prenatal ethanol exposure of mice during gastrulation or neurulation delays neurobehavioral development. Neurotoxicology and Teratology, 51 1-11. [Link | PubMed]

K. M. Diaz, D. J Krupka, M. J. Chang, J. Peacock, Y. Ma, J. Goldsmith, J. E. Schwartz, K. W. Davidson (2015). Fitbit: An accurate and reliable device for wireless physical activity tracking. International Journal of Cardiology, 185 138-140. [Link | PubMed]

C. Wang, S. Vine, A. Hsiao, A. Rundle, and J. Goldsmith (2015). Weight-Related Behaviors When Children are in School Versus on Summer Breaks: Does Income Matter? Journal of School Health, 85 458-466. [Link | PubMed]

M. Sabatello, J. Phelan, D. C. Hesdorffer, S. Shostak, J. Goldsmith, S. Sorge, M. Winawer, W. Chung, R. Ottman (2015). Genetic Causal Attribution of Epilepsy and its Implications for Felt Stigma. Epilepsia, 56 1542-1550. [Link | PubMed]


J. Goldsmith, L. Huang, C. M. Crainiceanu (2014). Smooth Scalar-on-Image Regression via Spatial Bayesian Variable Selection. Journal of Computational and Graphical Statistics, 23 46-64. [Link | PubMed]

J. Goldsmith, F. Scheipl (2014). Estimator Selection and Combination in Scalar-on-Function Regression. Computational Statistics and Data Analysis, 70 362-372. [Link | PDF | Code]

J. A. Schrack, V. Zipunnikov, J. Goldsmith, K. Bandeen-Roche, C. M. Crainiceanu, L. Ferrucci (2014). Estimating Energy Expenditure from Heart Rate in Older Adults: a Case for Calibration. PLoS One, 9 1-9. [Link | PubMed]

J. A. Schrack, V. Zipunnikov, J. Goldsmith, J. Bai, E. M. Simonsick, C. M. Crainiceanu, L. Ferrucci (2014). Assessing the “Physical Cliff”: Detailed Quantification of Aging and Physical Activity. Journal of Gerontology: Medical Sciences. 69 973-979. [Link | PubMed | Article selected as “Editor’s Choice”]

S. Vullaganti, J. Goldsmith, S. Teruya, J. Alvarez, S. Helmke, M. Maurer (2014). Cardiovascular effects of hemoglobin response in patients receiving epoetin alfa and oral iron in heart failure with a preserved ejection fraction. Journal of Geriatric Cardiology, 11 100-105. [Link | PubMed]

B. Swihart, J. Goldsmith, C. M. Crainiceanu. (2014). Restricted Likelihood Ratio Tests for Functional Effects in the Functional Linear Model. Technometrics, 56 483-493. [Link]

A. Hauschild, S. C. Chen, M. Weichenthal, A. Blum, H. C. King, J. Goldsmith, D. O. Scharfstein, D. Gutkowicz-Krusin (2014). To excise or not: impact of MelaFind on German dermatologists’ decisions to biopsy atypical lesions. JDDG: Journal der Deutschen Dermatologischen Gesellschaft, 12 606-614. [Link | PubMed]

J. O. Okeke, V. E. Tangel, S. T. Sorge, D. C. Hesdorffer, M. R. Winawer, J. Goldsmith, J. Phelan, W. Chung, S. Shostak, R. Ottman (2014). Genetic Testing Preferences in Families Containing Multiple Individuals with Epilepsy. Epilepsia, 55 1705-1713. [Link | PubMed]

G. S. Lovasi, J. Goldsmith (2014). Invited commentary: Taking advantage of time-varying neighborhood environments. American Journal of Epidemiology, DOI: 10.1093/aje/kwu170. [Link | PubMed]

N. Cyrille, J. Goldsmith, J. Alvarez, M. S. Maurer (2014). Prevalence and Prognostic Significance of Low QRS Voltage Among the Three Main Types of Cardiac Amyloid. American Journal of Cardiology, 114 1089-1093. [Link | PubMed]

R. T. Shinohara, E. M. Sweeny, J. Goldsmith, N. Shiee, F. J. Mateen, P. A. Calabresi, S. Jarso, D. L. Pham, D. S. Reich, C. M. Crainiceanu (2014). Statistical Normalization Techniques for Magnetic Resonance Imaging. NeuroImage: Clinical, 6 9-19 [Link | PubMed]


J. Goldsmith, S. Greven, C. M. Crainiceanu (2013). Corrected Confidence Bands for Functional Data Using Principal Components. Biometrics, 69 41-51. [Link | PubMed]

J. Gertheiss, J. Goldsmith, C. M. Crainiceanu, S. Greven. (2013). Longitudinal Scalar-on-Functions Regression with Application to Tractography Data. Biostatistics. 14 447-461. [Link | PubMed]

H. Sorensen, J. Goldsmith, L. Sangalli. (2013). An Introduction with Medical Applications to Functional Data Analysis. Statistics in Medicine. 32 5222-5240. [Link | PubMed]

L. Huang, J. Goldsmith, P. T. Reiss, D. S. Reich, C. M. Crainiceanu. (2013). Bayesian Scalar-on-Image Regression with Application to Association Between Intracranial DTI and Cognitive Outcomes. NeuroImage. 83 210-223. [Link | PubMed]

F. J. Leyva, R. P. Bakshi, E. J. Fuchs, L. Li, B. S. Caffo, J. Goldsmith, Y. Du, J. P. Leal, L. A. Lee, M. S. Torbenson, C. W. Hendrix (2013). Iso-osmolar enemas demonstrate preferential gastrointestinal distribution, safety, and acceptability compared with hyper- and hypo-osmolar enemas as a potential delive AIDS Research and Human Retroviruses. 29 1487-1495. [Link | PubMed]


J. Goldsmith, C. M. Crainiceanu, B. S. Caffo, D. S. Reich (2012). Longitudinal Penalized Functional Regression for Cognitive Outcomes on Neuronal Tract Measurements. Journal of the Royal Statistical Society: Series C, 61 453-469. [Link | PubMed | Simulation Code]

T. Shinohara, J. Goldsmith, F. Mateen, D. S. Reich, C. M. Crainiceanu (2012). Predicting Breakdown of the Blood-Brain Barrier in Multiple Sclerosis Without Contrast Agents. American Journal of Neuroradiology, 33 1586-1590. [Link | PubMed]

J. Bai, J. Goldsmith, B. S. Caffo, T. Glass, C. M. Crainiceanu (2012). Movelets: A Dictionary of Movement. Electronic Journal of Statistics, 6 559-578. [Link | PubMed]

N. Louissant, S. Nimmagadda, R. Bakshi, Y. Du, K. Macura, K. King, R. Wahl, J. Goldsmith, B. S. Caffo, Y.-J. Cao, J. Anderson, E. Fuchs, C. W. Hendrix (2012). Distribution of Cell-free and Cell-associated HIV Surrogates in the Female Genital Tract following Simulated Vaginal Intercourse. Journal of Infectious Diseases, 205 725-732. [Link | PubMed]

N. Louissant, S. Nimmagadda, E. Fuchs, R. Bakshi, Y. Cao, L. Lee, J. Goldsmith, B. S. Caffo, Y. Du, K. King, F. Menendez, M. Torbenson, C. W. Hendrix (2012). Distribution of Cell-free and Cell-associated HIV Surrogates in the Colon following Simulated Receptive Anal Intercourse. Journal of Acquired Immune Deficiency Syndromes, Basic and Translational Science, 59 10-17. [Link | PubMed]

2011 and before

J. Goldsmith, J. Bobb, C. M. Crainiceanu, B. S. Caffo, D. S. Reich (2011). Penalized Functional Regression. Journal of Computational and Graphical Statistics, 20 830-851. [Link | PubMed | Simulation Code]

J. Goldsmith, C. M. Crainiceanu, B. S. Caffo, D. S. Reich (2011). Penalized Functional Regression Analysis of White-Matter Tract Profiles in Multiple Sclerosis. NeuroImage, 57 431-439. [Link | PubMed]

J. Goldsmith, B. S. Caffo, C. M. Crainiceanu, D. Reich, Y. Du, C. W. Hendrix (2011). Nonlinear Tube-Fitting for the Analysis of Anatomical and Functional Structures. Annals of Applied Statistics, 5 337-363. [Link | PubMed]

J. Goldsmith, M. P. Wand, and C. M. Crainiceanu (2011). Functional Regression via Variational Bayes. Electronic Journal of Statistics, 5 572-602. [Link | PubMed | Simulation Code]

C. M. Crainiceanu, J. Goldsmith (2010). Bayesian Functional Data Analysis using WinBUGS. Journal of Statistical Software, 32 1-33. [Link | PubMed]

J. Goldsmith, L. Koss (2009). Dynamical Properties of the Derivative of the Weierstrass Elliptic Function. Involve, 2 267-288. [Link | pdf]