Methods to temporally align gait cycle data NE Helwig, S Hong, ET Hsiao-Wecksler, JD Polk Journal of biomechanics 44 (3), 561-566, 2011 | 129 | 2011 |
Color, music, and emotion: Bach to the blues KL Whiteford, KB Schloss, NE Helwig, SE Palmer i-Perception 9 (6), 2041669518808535, 2018 | 91 | 2018 |
Age, gender, and self-esteem: A sociocultural look through a nonparametric lens. NE Helwig, MR Ruprecht Archives of Scientific Psychology 5 (1), 19, 2017 | 78 | 2017 |
Adding bias to reduce variance in psychological results: A tutorial on penalized regression NE Helwig The Quantitative Methods for Psychology 13 (1), http://www.tqmp.org …, 2017 | 52* | 2017 |
Bootstrap enhanced penalized regression for variable selection with neuroimaging data SV Abram, NE Helwig, CA Moodie, CG DeYoung, AW MacDonald III, ... Frontiers in neuroscience 10, 344, 2016 | 44 | 2016 |
Dynamic properties of successful smiles NE Helwig, NE Sohre, MR Ruprecht, SJ Guy, S Lyford-Pike PloS one 12 (6), e0179708, 2017 | 42 | 2017 |
Fast and stable multiple smoothing parameter selection in smoothing spline analysis of variance models with large samples NE Helwig, P Ma Journal of Computational and Graphical Statistics 24 (3), 715-732, 2015 | 39 | 2015 |
A critique of tensor probabilistic independent component analysis: implications and recommendations for multi-subject fMRI data analysis NE Helwig, S Hong Journal of neuroscience methods 213 (2), 263-273, 2013 | 39 | 2013 |
Statistical nonparametric mapping: Multivariate permutation tests for location, correlation, and regression problems in neuroimaging NE Helwig Wiley Interdisciplinary Reviews: Computational Statistics 11 (2), e1457, 2019 | 38 | 2019 |
multiway: Component models for multi-way data N Helwig | 35 | 2019 |
ica: Independent Component Analysis N Helwig | 35* | 2018 |
Smoothing spline analysis of variance models: A new tool for the analysis of cyclic biomechanical data NE Helwig, KA Shorter, P Ma, ET Hsiao-Wecksler Journal of biomechanics 49 (14), 3216-3222, 2016 | 35 | 2016 |
Regression with ordered predictors via ordinal smoothing splines NE Helwig Frontiers in Applied Mathematics and Statistics 3, 15, 2017 | 32 | 2017 |
Habitual wearers of colored lenses adapt more rapidly to the color changes the lenses produce SA Engel, AJ Wilkins, S Mand, NE Helwig, PM Allen Vision research 125, 41-48, 2016 | 30 | 2016 |
Estimating latent trends in multivariate longitudinal data via Parafac2 with functional and structural constraints NE Helwig Biometrical Journal 59 (4), 783-803, 2017 | 26 | 2017 |
Smoothing spline ANOVA for super-large samples: Scalable computation via rounding parameters NE Helwig, P Ma arXiv preprint arXiv:1602.05208, 2016 | 26 | 2016 |
Multiple and generalized nonparametric regression N Helwig P. Atkinson, S. Delamont, A. Cernat, JW Sakshaug, & RA Williams (Eds.), 2020 | 23 | 2020 |
Multivariate linear regression NE Helwig University of Minnesota, http://users. stat. umn. edu/∼ helwig/notes/mvlr …, 2017 | 23 | 2017 |
The temporal course of over-generalized conditioned threat expectancies in posttraumatic stress disorder AE Hammell, NE Helwig, AN Kaczkurkin, SR Sponheim, S Lissek Behaviour research and therapy 124, 103513, 2020 | 22 | 2020 |
Predicting perceived disfigurement from facial function in patients with unilateral paralysis S Lyford-Pike, NE Helwig, NE Sohre, SJ Guy, TA Hadlock Plastic and reconstructive surgery 142 (5), 722e-728e, 2018 | 21 | 2018 |